32 Vacatures voor Predictive Analytics in de Nederland
Business Data Analysis Intern - FP&A Department
Eindhoven, Noord Brabant
Fortive Corporation
5 dagen geleden geplaatst
Taak bekeken
Functieomschrijving
**About the Role**
We are seeking a detail-oriented and proactive **Business Data Analysis Intern** to join our **Financial Planning & Analysis (FP&A)** team. In this role, you will support the monthly reporting and analysis of _Sales Out_ and _Inventory_ data submitted by Fluke's channel partners. You will work closely with the FP&A team to ensure data quality, identify business opportunities, and contribute to process improvements and automation initiatives.
**Key Responsibilities**
+ Rework and process monthly _Sales Out_ and _Inventory_ reports received from Fluke's channel partners.
+ Analyze submitted data to identify quality defects, inconsistencies, and potential business opportunities.
+ Participate in ongoing projects to optimize and automate reporting processes, including:
+ Leveraging and enhancing the RPA bot developed in 2024.
+ Developing tools and workflows for reporting tasks not efficiently handled by the RPA bot.
+ Support the FP&A department's BI Analyst with small-scale data and reporting projects.
**Required Qualifications & Skills**
+ Must be enrolled at a university for the entire duration of the internship
+ Strong proficiency in Microsoft Excel.
+ Affinity with data processing, validation, and analysis.
+ Strong analytical mindset with attention to detail.
+ Ability to manage multiple tasks and meet deadlines in a fast-paced environment.
**Preferred Qualifications**
+ Experience working with Robotic Process Automation (RPA) tools.
+ Background in data analytics, business intelligence, or related fields.
**Why Fluke?**
+ We offer a dynamic, international environment with opportunities for learning, professional development, and growth.
+ We are committed to a diverse and inclusive work environment where you feel supported and empowered to face challenges head-on, speak your mind and be yourself.
+ Aligning business and personal needs is essential, so we provide you with flexibility to enable you to bring your best to work. We recognize and celebrate success through our Fluke Inspire program for internal recognition.
+ We support important causes and team up to find meaningful ways to give back to the community through the Fluke Day of Caring.
**Fortive Corporation Overview**
Fortive's essential technology makes the world stronger, safer, and smarter. We accelerate transformation across a broad range of applications including environmental, health and safety compliance, industrial condition monitoring, next-generation product design, and healthcare safety solutions.
We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in software-powered workflow solutions, data-driven intelligence, AI-powered automation, and other disruptive technologies. We're a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to groundbreaking sustainability solutions.
We are a diverse team 17,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact.
At Fortive, we believe in you. We believe in your potential-your ability to learn, grow, and make a difference.
At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone.
At Fortive, we believe in growth. We're honest about what's working and what isn't, and we never stop improving and innovating.
Fortive: For you, for us, for growth.
**About Fluke**
Fluke is leading the world in creating software, test tools and technology that will support customers today and in the future. We are a customer-obsessed market leader with a strong reputation for reliability, quality and safety.A wholly owned subsidiary of Fortive Corporation ( Fluke is a global corporation headquartered in the greater Seattle area. Driven by the successful Fortive Business System, Fluke offers the passion of a startup with the resources of a Fortune 500 company. We are focused on the growth of our individual employees, teams and the Fluke brand.
We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at
We are an Equal Opportunity Employer
Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at
We are seeking a detail-oriented and proactive **Business Data Analysis Intern** to join our **Financial Planning & Analysis (FP&A)** team. In this role, you will support the monthly reporting and analysis of _Sales Out_ and _Inventory_ data submitted by Fluke's channel partners. You will work closely with the FP&A team to ensure data quality, identify business opportunities, and contribute to process improvements and automation initiatives.
**Key Responsibilities**
+ Rework and process monthly _Sales Out_ and _Inventory_ reports received from Fluke's channel partners.
+ Analyze submitted data to identify quality defects, inconsistencies, and potential business opportunities.
+ Participate in ongoing projects to optimize and automate reporting processes, including:
+ Leveraging and enhancing the RPA bot developed in 2024.
+ Developing tools and workflows for reporting tasks not efficiently handled by the RPA bot.
+ Support the FP&A department's BI Analyst with small-scale data and reporting projects.
**Required Qualifications & Skills**
+ Must be enrolled at a university for the entire duration of the internship
+ Strong proficiency in Microsoft Excel.
+ Affinity with data processing, validation, and analysis.
+ Strong analytical mindset with attention to detail.
+ Ability to manage multiple tasks and meet deadlines in a fast-paced environment.
**Preferred Qualifications**
+ Experience working with Robotic Process Automation (RPA) tools.
+ Background in data analytics, business intelligence, or related fields.
**Why Fluke?**
+ We offer a dynamic, international environment with opportunities for learning, professional development, and growth.
+ We are committed to a diverse and inclusive work environment where you feel supported and empowered to face challenges head-on, speak your mind and be yourself.
+ Aligning business and personal needs is essential, so we provide you with flexibility to enable you to bring your best to work. We recognize and celebrate success through our Fluke Inspire program for internal recognition.
+ We support important causes and team up to find meaningful ways to give back to the community through the Fluke Day of Caring.
**Fortive Corporation Overview**
Fortive's essential technology makes the world stronger, safer, and smarter. We accelerate transformation across a broad range of applications including environmental, health and safety compliance, industrial condition monitoring, next-generation product design, and healthcare safety solutions.
We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in software-powered workflow solutions, data-driven intelligence, AI-powered automation, and other disruptive technologies. We're a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to groundbreaking sustainability solutions.
We are a diverse team 17,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact.
At Fortive, we believe in you. We believe in your potential-your ability to learn, grow, and make a difference.
At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone.
At Fortive, we believe in growth. We're honest about what's working and what isn't, and we never stop improving and innovating.
Fortive: For you, for us, for growth.
**About Fluke**
Fluke is leading the world in creating software, test tools and technology that will support customers today and in the future. We are a customer-obsessed market leader with a strong reputation for reliability, quality and safety.A wholly owned subsidiary of Fortive Corporation ( Fluke is a global corporation headquartered in the greater Seattle area. Driven by the successful Fortive Business System, Fluke offers the passion of a startup with the resources of a Fortune 500 company. We are focused on the growth of our individual employees, teams and the Fluke brand.
We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at
We are an Equal Opportunity Employer
Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at
Sorry, deze vacature is niet beschikbaar in jouw regio
0
Service Manager Data & Process Analysis
2201
Octagon Professionals International
Vandaag
Taak bekeken
Functieomschrijving
We are looking for a Service Manager Data & Process Analysis to provide support to the European Space Agency in achieving their digital transformation and reporting objectives. The successful candidate will be responsible for overseeing the delivery of the Data and Process Analytics service while also dedicating a major portion of time to hands-on delivery tasks.
The Service Manager will lead a team of 5-6 staff divided between ESTEC and ESRIN in performing the tasks across the 3 work packages. These tasks will be performed within the HIF Directorate at ESTEC, Noordwijk, The Netherlands, in close coordination with internal stakeholders and business units.
Work Package 1:
Finance Planning and Controlling Department (WP-F):
The Finance, Planning and Controlling Department is responsible for the definition and implementation of the Agency’s policies in financial, controlling and accounting matters.
Work Package 2:
Human Resources Departmen (WP-H):
The Human Resources Department is responsible of defining the strategy and policy in the area of human resources, employment and working conditions and ensuring uniform implementation throughout the Agency and related operations.
Work Package 3:
Information Technology Department and Digital Transformation Office (WP-I):
The Information Technology Department and Digital Transformation Office is responsible of the delivery and evolution of the common IT systems and services of the Agency and is responsible of operating these systems in compliance with ESA Admin Instructions and Standards.
Key Responsibilities:
- Lead and coordinate the analytics service team across the 3 Work Packages.
- Engage with ESA stakeholders to ensure timely delivery of KPIs and dashboards.
- Oversee requirements gathering, dashboard implementation, and validation activities.
- Track service performance, risks, and resourcing.
- Contribute directly to analytics tasks, including dashboard design and testing.
Requirements:
- Master’s degree in a relevant discipline;
- 5+ yearsof experience in service management or team leadership roles;
- Strong background in data and statistical analysis, data modelling, and dashboard design;
- Advancedproficiency in Power BI (mandatory);
- Proficiency with the Microsoft 365 suite, Adobe Acrobat, and collaboration tools like SharePoint, Slack, and MS Teams;
- Experience inESA or similar institutional environment;
- Proficient project management skills;
- Proven ability to manage stakeholder expectations and project timelines;
- Strong written and spoken communication;
- Full professional fluency in English (written and spoken). Knowledge of the local working language is an asset;
- Eligibleto live and work in the EU.
We Offer:
- Attractive remuneration package.
- Up to 30 vacation days & additional 12 public holidays, based on a 40-hour working week.
- Pension contribution to a tailor-made pension scheme.
- Yearly subscription to ESTEC gym facilities and access to an on-site swimming pool.
- International and collaborative work environment.
- Flexibility, with potential for hybrid or remote work options.
Ready for this new challenge? Apply now and let’s get in touch!
Octagon Professionals International is a full-service recruitment and HR services firm with 30 years of experience in the European and international market. Our large network of professionals across multiple functional areas, and multi-national team provide flexible solutions customised to individual client needs.
Privacy Notice:
In order to apply for this vacancy you must submit your personal information to Octagon Professionals. Octagon Professionals will collect, use and process your personal information as mentioned in our Privacy Policy. Our policy and processing of your personal information is compliant with the GDPR.
Sorry, deze vacature is niet beschikbaar in jouw regio
1
Intern Machine Learning
Heerlen, Limburg
Medtronic
4 dagen geleden geplaatst
Taak bekeken
Functieomschrijving
At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You'll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.
**A Day in the Life**
In this position you will work on machine learning projects (classical and possibly deep learning) for medical applications. The projects will include feature selection and classification tasks to reserch which characteristics have impact on treatment.
**Internship details:**
+ Start date: September and onwards
+ Duration: 5 - 6 months
+ Working hours: 40 h/week with flexibility (exams and holiday period)
+ Location: Maastricht - in the office
+ Other location fully remote
**Responsibilities may include the following and other duties may be assigned:**
+ Data preprocessing and preparation
+ Develop and evaluate machine learning models (classical and possibly deep learning)
+ Perform feature selection
+ Documentation and reporting
+ Present results to team and stakeholders
**Required Knowledge:**
+ Pursuing a Master degree in higher education in Electrical Engineering, Computer Science or Biomedical Engineering
+ Proficiency in English (preferred as C1 or above)
+ Strong mathematical background
+ Strong Machine Learning skills- both theoretical and practical experience
**Physical Job Requirements**
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.
**Benefits & Compensation**
**Medtronic offers a competitive Salary and flexible Benefits Package**
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.
**About Medtronic**
We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
Our Mission - to alleviate pain, restore health, and extend life - unites a global team of 95,000+ passionate people.
We are engineers at heart- putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.
Learn more about our business, mission, and our commitment to diversity here ( lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
Our Mission - to alleviate pain, restore health, and extend life - unites a global team of 95,000+ passionate people.
We are engineers at heart- putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.
**We change lives** . Each team member, each day, helps to improve and redefine how the world treats the most pressing health conditions, from heart disease to diabetes. Our industry leadership comes from the passion and ingenuity of our people. That's who we are. Working alongside one another, we use science, medicine, and a profound understanding of the human body to build extraordinary technologies that can transform lives.
**We build extraordinary solutions as one team** . With one Medtronic Mindset defining how we work. Speed and decisiveness run through our DNA. Diverse perspectives inspire our bold answers to any challenge that comes our way. And we deliver results the right way, breakthrough after patient breakthrough.
**This life-changing career is yours to engineer** . By bringing your ambitious ideas, unique perspective and contributions, you will.
+ **Build** a better future, amplifying your impact on the causes that matter to you and the world
+ **Grow** a career reflective of your passion and abilities
+ **Connect** to a dynamic and inclusive culture that welcomes the challenge of life-long learning
These commitments set our team apart from the rest:
**Experiences that put people first** . Respect for people is the hallmark of our humanity. It fuels our team to positively impact even a single life. And it means we put our people first at Medtronic as well, creating a culture of belonging and always pushing to get you the career-building resources you need.
**Life-transforming technologies** . No matter your role, you contribute to technologies that transform lives. What we build empowers patients to live life on their terms.
**Better outcomes for our world** . Here, it's about more than the bottom line. Our Mission to improve human welfare drives us. We advance healthcare, society, and equity with every design, inside and outside our walls.
**Insight-driven care** . Fresh viewpoints. Cutting-edge AI, data, and automation. You're shaping the future of healthcare technology and defining the next generation of breakthroughs in care
It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities.
For sales reps and other patient facing field employees, going into a healthcare setting is considered an essential function of the job and we expect our employees to comply with all credentialing requirements at the hospitals or clinics they support.
This employer participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here ( .
For updates on job applications, please go to the candidate login page and sign in to check your application status.
If you need assistance completing your application please email
To request removal of your personal information from our systems please email
**A Day in the Life**
In this position you will work on machine learning projects (classical and possibly deep learning) for medical applications. The projects will include feature selection and classification tasks to reserch which characteristics have impact on treatment.
**Internship details:**
+ Start date: September and onwards
+ Duration: 5 - 6 months
+ Working hours: 40 h/week with flexibility (exams and holiday period)
+ Location: Maastricht - in the office
+ Other location fully remote
**Responsibilities may include the following and other duties may be assigned:**
+ Data preprocessing and preparation
+ Develop and evaluate machine learning models (classical and possibly deep learning)
+ Perform feature selection
+ Documentation and reporting
+ Present results to team and stakeholders
**Required Knowledge:**
+ Pursuing a Master degree in higher education in Electrical Engineering, Computer Science or Biomedical Engineering
+ Proficiency in English (preferred as C1 or above)
+ Strong mathematical background
+ Strong Machine Learning skills- both theoretical and practical experience
**Physical Job Requirements**
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.
**Benefits & Compensation**
**Medtronic offers a competitive Salary and flexible Benefits Package**
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.
**About Medtronic**
We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
Our Mission - to alleviate pain, restore health, and extend life - unites a global team of 95,000+ passionate people.
We are engineers at heart- putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.
Learn more about our business, mission, and our commitment to diversity here ( lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
Our Mission - to alleviate pain, restore health, and extend life - unites a global team of 95,000+ passionate people.
We are engineers at heart- putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.
**We change lives** . Each team member, each day, helps to improve and redefine how the world treats the most pressing health conditions, from heart disease to diabetes. Our industry leadership comes from the passion and ingenuity of our people. That's who we are. Working alongside one another, we use science, medicine, and a profound understanding of the human body to build extraordinary technologies that can transform lives.
**We build extraordinary solutions as one team** . With one Medtronic Mindset defining how we work. Speed and decisiveness run through our DNA. Diverse perspectives inspire our bold answers to any challenge that comes our way. And we deliver results the right way, breakthrough after patient breakthrough.
**This life-changing career is yours to engineer** . By bringing your ambitious ideas, unique perspective and contributions, you will.
+ **Build** a better future, amplifying your impact on the causes that matter to you and the world
+ **Grow** a career reflective of your passion and abilities
+ **Connect** to a dynamic and inclusive culture that welcomes the challenge of life-long learning
These commitments set our team apart from the rest:
**Experiences that put people first** . Respect for people is the hallmark of our humanity. It fuels our team to positively impact even a single life. And it means we put our people first at Medtronic as well, creating a culture of belonging and always pushing to get you the career-building resources you need.
**Life-transforming technologies** . No matter your role, you contribute to technologies that transform lives. What we build empowers patients to live life on their terms.
**Better outcomes for our world** . Here, it's about more than the bottom line. Our Mission to improve human welfare drives us. We advance healthcare, society, and equity with every design, inside and outside our walls.
**Insight-driven care** . Fresh viewpoints. Cutting-edge AI, data, and automation. You're shaping the future of healthcare technology and defining the next generation of breakthroughs in care
It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities.
For sales reps and other patient facing field employees, going into a healthcare setting is considered an essential function of the job and we expect our employees to comply with all credentialing requirements at the hospitals or clinics they support.
This employer participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here ( .
For updates on job applications, please go to the candidate login page and sign in to check your application status.
If you need assistance completing your application please email
To request removal of your personal information from our systems please email
Sorry, deze vacature is niet beschikbaar in jouw regio
2
Senior Machine Learning Engineer
Amsterdam, Noord Holland
ServiceNow, Inc.
4 dagen geleden geplaatst
Taak bekeken
Functieomschrijving
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
**What you get to do in this role:**
The Unified Technology Group (UTG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.
You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world.
+ Build the best cloud-based AI/ML solutions to power intelligent enterprise services
+ Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software
+ Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users
**To be successful in this role you have:**
+ Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
+ It is ideal for someone comfortable moving between data pipelines, backend services, and building features that ship in UI. You'll collaborate with data and product teams to take Machine Learning from concept to production.
+ Collaborate with Machine Learning researchers or data scientists to validate and productize GenAI applications
+ Work with both Machine Learning frameworks and full-stack frameworks (e.g., Java, React, Node.js, ServiceNow UI Framework).
+ Work with APIs from cloud AI services (ServiceNow AI Platform).
+ Write high-performance and maintainable applications with AI services.
+ Focus on usability, user experience, and rapid prototyping.
+ Experience in AI system evaluation and benchmarking using accuracy metrics, golden datasets, and other standardized performance indicators.
**Work Personas**
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here ( .
**Equal Opportunity Employer**
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
**Accommodations**
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance.
**Export Control Regulations**
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.
**What you get to do in this role:**
The Unified Technology Group (UTG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.
You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world.
+ Build the best cloud-based AI/ML solutions to power intelligent enterprise services
+ Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software
+ Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users
**To be successful in this role you have:**
+ Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
+ It is ideal for someone comfortable moving between data pipelines, backend services, and building features that ship in UI. You'll collaborate with data and product teams to take Machine Learning from concept to production.
+ Collaborate with Machine Learning researchers or data scientists to validate and productize GenAI applications
+ Work with both Machine Learning frameworks and full-stack frameworks (e.g., Java, React, Node.js, ServiceNow UI Framework).
+ Work with APIs from cloud AI services (ServiceNow AI Platform).
+ Write high-performance and maintainable applications with AI services.
+ Focus on usability, user experience, and rapid prototyping.
+ Experience in AI system evaluation and benchmarking using accuracy metrics, golden datasets, and other standardized performance indicators.
**Work Personas**
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here ( .
**Equal Opportunity Employer**
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
**Accommodations**
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance.
**Export Control Regulations**
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.
Sorry, deze vacature is niet beschikbaar in jouw regio
3
Senior Machine Learning Engineer
Amsterdam, Noord Holland
Cognizant
23 dagen geleden geplaatst
Taak bekeken
Functieomschrijving
What makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment! This is creating a lot of opportunities for people like YOU - people with an entrepreneurial spirit who want to make a difference in this world.
At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative and successful. And this is your chance to be part of the success story: we are looking for a Senior Machine Learning Engineer to join our Artificial Intelligence & Analytics Team.
**Your team:**
About Cognizant Digital Business - Artificial Intelligence & Analytics
We help our customers leverage Artificial Intelligence and analytics in building technology solutions to improve the quality of human life. We are the market leaders in the data and analytic space with 22,000+ information & data management, AI and analytics professional helping more than 650+ customers across the globe to build and run intelligent businesses, using an AI-first, human-centric, platform driven and design thinking approach.
**Your role and responsibilities:**
· Design AI systems, including data pipelines, model deployment, and integration with other systems to ensure seamless operation and data flow.
· Ensure the scalability, reliability, and performance of AI systems.
· Collaborate with cross-functional teams to integrate AI models into production environments.
· Build, train, and optimize machine learning models by selecting appropriate algorithms, performing hyperparameter tuning, and conducting model optimization to achieve high accuracy and performance.
· Evaluate and validate model performance using various metrics and techniques to ensure models meet the required standards and deliver actionable insights.
· Work end-to-end on the ML lifecycle, from data exploration to model operationalization.
· Collaborate with data engineers, data scientists, product etc in a multi-functional team to deliver and maintain the solutions and business integration.
· Partner with different teams and domains on designing, explaining and implementing ML models.
· You will be responsible to support users with the solutions that you will build.
· Work with the MLOps engineer in the team on operationalization of the models, which can be through batch inference, or live through providing API's.
· Integrate your models with existing systems or make them consumer facing.
Ensure high quality solutions are delivered, through testing, applying engineering standards and actively working on model monitoring.
**What we offer:**
+ A competitive salary based on your qualities and experience.
+ Access to Udemy, Cognizant Academy digital libraries for your continuous learning.
+ NS business card to cover your commute expenses.
+ 25 days of paid holiday per year.
+ A laptop and a smartphone.
+ A pension scheme.
+ Organization driven by technology - we have a tremendous technology backbone.
+ Open, 'can do' team spirit and international environment that encourages making your ideas reality!
**What you will bring to the team:**
· Strong experience working with Artificial Intelligence and Machine Learning, and delivering business value through applying ML.
· Advanced degree in computer science, math, statistics, engineering or a related degree.
· Experience in building AI models/platforms including Gen AI.
· Experience with Python, ML libraries (such as scikit-learn, pytorch, etc), SQL, Spark, pandas and cloud technologies.
· Experience in designing and running live model tests.
· Have strong knowledge of the whole model lifecycle from exploring data to bringing machine learning solutions to production and integration.
· Experience with containerizing ML workloads, using docker and Kubernetes
· Background in software engineering, and experience with CI/CD, testing & creating microservices is highly preferred.
**Diversity and Inclusion at Cognizant:**
At Cognizant, we believe diversity and inclusion are at the heart of our ability to execute successfully and consistently over the long term. We recognize that our people are our most important asset. We strive to create an environment where all associates feel comfortable to be themselves, feel accepted and can therefore thrive both personally and professionally. We continue to drive D&I throughout our organization to unlock the insights, imagination and innovation of our associates, as well as reflect the diversity of our clients and communities. We are a Dutch and European Top Employer and continually drive employment recognition and engagement through employee friendly policies and affinity groups such as "Women Empowered", "Embrace LGBTQ+" and "Race Equality Network".
**About Cognizant**
Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 185 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at or follow us @Cognizant.
**Responsible recruiter** :
Name: Sofiia Rykhva
Email address:
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative and successful. And this is your chance to be part of the success story: we are looking for a Senior Machine Learning Engineer to join our Artificial Intelligence & Analytics Team.
**Your team:**
About Cognizant Digital Business - Artificial Intelligence & Analytics
We help our customers leverage Artificial Intelligence and analytics in building technology solutions to improve the quality of human life. We are the market leaders in the data and analytic space with 22,000+ information & data management, AI and analytics professional helping more than 650+ customers across the globe to build and run intelligent businesses, using an AI-first, human-centric, platform driven and design thinking approach.
**Your role and responsibilities:**
· Design AI systems, including data pipelines, model deployment, and integration with other systems to ensure seamless operation and data flow.
· Ensure the scalability, reliability, and performance of AI systems.
· Collaborate with cross-functional teams to integrate AI models into production environments.
· Build, train, and optimize machine learning models by selecting appropriate algorithms, performing hyperparameter tuning, and conducting model optimization to achieve high accuracy and performance.
· Evaluate and validate model performance using various metrics and techniques to ensure models meet the required standards and deliver actionable insights.
· Work end-to-end on the ML lifecycle, from data exploration to model operationalization.
· Collaborate with data engineers, data scientists, product etc in a multi-functional team to deliver and maintain the solutions and business integration.
· Partner with different teams and domains on designing, explaining and implementing ML models.
· You will be responsible to support users with the solutions that you will build.
· Work with the MLOps engineer in the team on operationalization of the models, which can be through batch inference, or live through providing API's.
· Integrate your models with existing systems or make them consumer facing.
Ensure high quality solutions are delivered, through testing, applying engineering standards and actively working on model monitoring.
**What we offer:**
+ A competitive salary based on your qualities and experience.
+ Access to Udemy, Cognizant Academy digital libraries for your continuous learning.
+ NS business card to cover your commute expenses.
+ 25 days of paid holiday per year.
+ A laptop and a smartphone.
+ A pension scheme.
+ Organization driven by technology - we have a tremendous technology backbone.
+ Open, 'can do' team spirit and international environment that encourages making your ideas reality!
**What you will bring to the team:**
· Strong experience working with Artificial Intelligence and Machine Learning, and delivering business value through applying ML.
· Advanced degree in computer science, math, statistics, engineering or a related degree.
· Experience in building AI models/platforms including Gen AI.
· Experience with Python, ML libraries (such as scikit-learn, pytorch, etc), SQL, Spark, pandas and cloud technologies.
· Experience in designing and running live model tests.
· Have strong knowledge of the whole model lifecycle from exploring data to bringing machine learning solutions to production and integration.
· Experience with containerizing ML workloads, using docker and Kubernetes
· Background in software engineering, and experience with CI/CD, testing & creating microservices is highly preferred.
**Diversity and Inclusion at Cognizant:**
At Cognizant, we believe diversity and inclusion are at the heart of our ability to execute successfully and consistently over the long term. We recognize that our people are our most important asset. We strive to create an environment where all associates feel comfortable to be themselves, feel accepted and can therefore thrive both personally and professionally. We continue to drive D&I throughout our organization to unlock the insights, imagination and innovation of our associates, as well as reflect the diversity of our clients and communities. We are a Dutch and European Top Employer and continually drive employment recognition and engagement through employee friendly policies and affinity groups such as "Women Empowered", "Embrace LGBTQ+" and "Race Equality Network".
**About Cognizant**
Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 185 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at or follow us @Cognizant.
**Responsible recruiter** :
Name: Sofiia Rykhva
Email address:
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Sorry, deze vacature is niet beschikbaar in jouw regio
4
Data/Machine Learning Engineer
3481 Harmelen, Utrecht
CowManager
Vandaag
Taak bekeken
Functieomschrijving
Ga jij met ons de uitdaging aan om met onze data de resultaten van melkveehouders wereldwijd te verbeteren én bij te dragen aan de gezondheid van koeien? Sluit je aan bij het meest innovatieve bedrijf in de sector en werk mee aan oplossingen die écht impact maken! Met jou als onze nieuwe MLOps engineer blijven we bouwen aan onze ambitie en zetten we de snelle groei van de afgelopen jaren voort.
Samen met je team draai je projecten die met onze data nieuwe inzichten voor melkveehouders moeten opleveren. Inzichten die helpen om je als melkveehouder nog succesvoller te maken. CowManager loopt hiermee voorop in de markt. Als eerste koe-monitoringsysteem heeft CowManager een model beschikbaar voor haar klanten dat voorspelt welke koeien ziek gaan worden, nog voordat er klinische symptomen zijn. Hoe gaaf is dat? Dit is pas het begin, er liggen nog talloze ideeën te wachten om uitgewerkt te worden. Wat ons betreft een rol om van te dromen;
We krijgen deze rol niet vaak vrij dus maak hier gebruik van!
Samen met de Data Engineers en Scientisten werk je aan de data en machine learning pipelines om het model in productie te kunnen zetten in onze Microsoft Azure cloud omgeving. Met andere woorden, je werkt aan de AI/ML oplossingen van begin tot eind:
van concept, ontwikkeling en implementatie tot beheer en monitoring van de tools in productie.
Wat ga je doen?
- Het bouwen van data pipelines voor data analyse en machine learning producten.
- Het in productie brengen van machine learning modellen, met bijbehorende monitoring
- Verzamelen van data uit verschillende bronnen en deze ontsluiten voor collega’s.
- Transformeren van data naar een bruikbaar formaat.
- Bouw en onderhoud van data infrastructuur en oplossingen.
- Werken in een Agile team met DevOps verantwoordelijkheid.
Over CowManager
CowManager is een innovatief en wereldwijd opererend bedrijf in de agrarische sector, gedreven door big data en het welzijn van koeien. Als uitvinders van de eerste oorsensortechnologie voor melkvee blijven we continu innoveren met geavanceerde software en systemen. Door de hoeveelheid aan (sensor)data en complexiteit van het monitoren zijn we voorloper en constant op zoek naar super schaalbare en robuuste oplossingen. We vragen veel van je gedrevenheid, zijn ambitieus maar vinden het belangrijk dat je resultaten samen met je collega’s worden behaald.
Wat neem je mee?
- Je hebt minimaal een HBO of WO werk- en denkniveau aangevuld met 3 jaar werkervaring als Data Scientist, Data engineer of Machine Learning engineer;
- Je hebtervaring met Python, met een focus op object-oriented programming en PySpark.;
- Tevens sterke SQL kennis met betrekking tot data manipulatie en analyse;
- Je hebtervaring op het gebied van data-analyse en machine learning;
- Je hebtervaring met Azure cloud platform;
- Je hebtervaring met deployment pipelines en Infrastructure as Code;
- Je hebtervaring met source control systemen zoals GIT;
- Je bentbekend met werken in een Agile omgeving;
- Je heb ML pipelines successvol in productie gebracht;
- Als persoon ben je klantgericht, teamplayer en creatief in het bedenken van oplossingen en verbeteringen.
Herken je jezelf niet in alle punten maar denk je toch een goede match te zijn? Overtuig ons met jouw motivatie!
Wat bieden wij?
- Een moderne werkomgeving met de nieuwste technologieën;
- Een salarisrange tussen de €4.000-€.500,-
- Variabele eindejaarsbonus tot 10% van je jaarsalaris;
- 25 verlofdagen, met de optie om extra dagen bij te kopen;
- Werken aan innovatieve technologie met direct zichtbare impact;
- Maandelijks ,- thuiswerkbudget (o.B.V. 40 uur);
- 0,- budgetvoor een ergonomische thuiswerkplek;
- Jaarlijks vitaliteitsbudget van 0,- (o.B.V. 40 uur);
- Dagelijks gratis en vers fruit op kantoor.
Sorry, deze vacature is niet beschikbaar in jouw regio
5
Machine Learning/Data Engineer
3481 Harmelen, Utrecht
CowManager
Vandaag
Taak bekeken
Functieomschrijving
Ga jij met ons de uitdaging aan om met onze data de resultaten van melkveehouders wereldwijd te verbeteren én bij te dragen aan de gezondheid van koeien? Sluit je aan bij het meest innovatieve bedrijf in de sector en werk mee aan oplossingen die écht impact maken! Met jou als onze nieuwe MLOps engineer blijven we bouwen aan onze ambitie en zetten we de snelle groei van de afgelopen jaren voort.
Samen met je team draai je projecten die met onze data nieuwe inzichten voor melkveehouders moeten opleveren. Als eerste koe-monitoringsysteem heeft CowManager een model beschikbaar voor haar klanten dat voorspelt welke koeien ziek gaan worden, nog voordat er klinische symptomen zijn. Samen met de Data Engineers en Scientisten werk je aan de data en machine learning pipelines om het model in productie te kunnen zetten in onze Microsoft Azure cloud omgeving. Met andere woorden, je werkt aan de AI/ML oplossingen van begin tot eind:
van concept, ontwikkeling en implementatie tot beheer en monitoring van de tools in productie.
Het bouwen van data pipelines voor data analyse en machine learning producten.
Verzamelen van data uit verschillende bronnen en deze ontsluiten voor collega’s.
Transformeren van data naar een bruikbaar formaat.
Bouw en onderhoud van data infrastructuur en oplossingen.
Werken in een Agile team met DevOps verantwoordelijkheid.
CowManager is een innovatief en wereldwijd opererend bedrijf in de agrarische sector, gedreven door big data en het welzijn van koeien. Als uitvinders van de eerste oorsensortechnologie voor melkvee blijven we continu innoveren met geavanceerde software en systemen. Door de hoeveelheid aan (sensor)data en complexiteit van het monitoren zijn we voorloper en constant op zoek naar super schaalbare en robuuste oplossingen. Je hebt minimaal een HBO of WO werk- en denkniveau aangevuld met 3 jaar werkervaring als Data Scientist, Data engineer of Machine Learning engineer;
Je hebt ervaring met Python, met een focus op object-oriented programming en PySpark.;
Tevens sterke SQL kennis met betrekking tot data manipulatie en analyse;
Je hebt ervaring ophet gebied van data-analyse en machine learning;
Je hebt ervaring met Azure cloud platform;
Je heb ML pipelinessuccessvol in productie gebracht;
Als persoon ben je klantgericht, teamplayer en creatief in het bedenken van oplossingen en verbeteringen.
Een moderne werkomgeving met de nieuwste technologieën;
~ Werken aaninnovatieve technologie met direct zichtbare impact;
~ Dagelijks gratis en vers fruit op kantoor.
Samen met je team draai je projecten die met onze data nieuwe inzichten voor melkveehouders moeten opleveren. Als eerste koe-monitoringsysteem heeft CowManager een model beschikbaar voor haar klanten dat voorspelt welke koeien ziek gaan worden, nog voordat er klinische symptomen zijn. Samen met de Data Engineers en Scientisten werk je aan de data en machine learning pipelines om het model in productie te kunnen zetten in onze Microsoft Azure cloud omgeving. Met andere woorden, je werkt aan de AI/ML oplossingen van begin tot eind:
van concept, ontwikkeling en implementatie tot beheer en monitoring van de tools in productie.
Het bouwen van data pipelines voor data analyse en machine learning producten.
Verzamelen van data uit verschillende bronnen en deze ontsluiten voor collega’s.
Transformeren van data naar een bruikbaar formaat.
Bouw en onderhoud van data infrastructuur en oplossingen.
Werken in een Agile team met DevOps verantwoordelijkheid.
CowManager is een innovatief en wereldwijd opererend bedrijf in de agrarische sector, gedreven door big data en het welzijn van koeien. Als uitvinders van de eerste oorsensortechnologie voor melkvee blijven we continu innoveren met geavanceerde software en systemen. Door de hoeveelheid aan (sensor)data en complexiteit van het monitoren zijn we voorloper en constant op zoek naar super schaalbare en robuuste oplossingen. Je hebt minimaal een HBO of WO werk- en denkniveau aangevuld met 3 jaar werkervaring als Data Scientist, Data engineer of Machine Learning engineer;
Je hebt ervaring met Python, met een focus op object-oriented programming en PySpark.;
Tevens sterke SQL kennis met betrekking tot data manipulatie en analyse;
Je hebt ervaring ophet gebied van data-analyse en machine learning;
Je hebt ervaring met Azure cloud platform;
Je heb ML pipelinessuccessvol in productie gebracht;
Als persoon ben je klantgericht, teamplayer en creatief in het bedenken van oplossingen en verbeteringen.
Een moderne werkomgeving met de nieuwste technologieën;
~ Werken aaninnovatieve technologie met direct zichtbare impact;
~ Dagelijks gratis en vers fruit op kantoor.
Sorry, deze vacature is niet beschikbaar in jouw regio
Wees de eerste die het weet
Over het nieuwste Predictive analytics Banen in Nederland !
6
Data Engineer / Machine Learning Engineer
3481 Harmelen, Utrecht
CowManager
Vandaag
Taak bekeken
Functieomschrijving
Ga jij met ons de uitdaging aan om met onze data de resultaten van melkveehouders wereldwijd te verbeteren én bij te dragen aan de gezondheid van koeien? Sluit je aan bij het meest innovatieve bedrijf in de sector en werk mee aan oplossingen die écht impact maken! Met jou als onze nieuwe MLOps engineer blijven we bouwen aan onze ambitie en zetten we de snelle groei van de afgelopen jaren voort.
Samen met je team draai je projecten die met onze data nieuwe inzichten voor melkveehouders moeten opleveren. Als eerste koe-monitoringsysteem heeft CowManager een model beschikbaar voor haar klanten dat voorspelt welke koeien ziek gaan worden, nog voordat er klinische symptomen zijn. Samen met de Data Engineers en Scientisten werk je aan de data en machine learning pipelines om het model in productie te kunnen zetten in onze Microsoft Azure cloud omgeving. Met andere woorden, je werkt aan de AI/ML oplossingen van begin tot eind:
van concept, ontwikkeling en implementatie tot beheer en monitoring van de tools in productie.
Het bouwen van data pipelines voor data analyse en machine learning producten.
Verzamelen van data uit verschillende bronnen en deze ontsluiten voor collega’s.
Transformeren van data naar een bruikbaar formaat.
Bouw en onderhoud van data infrastructuur en oplossingen.
Werken in een Agile team met DevOps verantwoordelijkheid.
CowManager is een innovatief en wereldwijd opererend bedrijf in de agrarische sector, gedreven door big data en het welzijn van koeien. Als uitvinders van de eerste oorsensortechnologie voor melkvee blijven we continu innoveren met geavanceerde software en systemen. Door de hoeveelheid aan (sensor)data en complexiteit van het monitoren zijn we voorloper en constant op zoek naar super schaalbare en robuuste oplossingen. Je hebt minimaal een HBO of WO werk- en denkniveau aangevuld met 3 jaar werkervaring als Data Scientist, Data engineer of Machine Learning engineer;
Je hebt ervaring met Python, met een focus op object-oriented programming en PySpark.;
Tevens sterke SQL kennis met betrekking tot data manipulatie en analyse;
Je hebt ervaring ophet gebied van data-analyse en machine learning;
Je hebt ervaring met Azure cloud platform;
Je heb ML pipelinessuccessvol in productie gebracht;
Als persoon ben je klantgericht, teamplayer en creatief in het bedenken van oplossingen en verbeteringen.
Een moderne werkomgeving met de nieuwste technologieën;
~ Werken aaninnovatieve technologie met direct zichtbare impact;
~ Dagelijks gratis en vers fruit op kantoor.
Samen met je team draai je projecten die met onze data nieuwe inzichten voor melkveehouders moeten opleveren. Als eerste koe-monitoringsysteem heeft CowManager een model beschikbaar voor haar klanten dat voorspelt welke koeien ziek gaan worden, nog voordat er klinische symptomen zijn. Samen met de Data Engineers en Scientisten werk je aan de data en machine learning pipelines om het model in productie te kunnen zetten in onze Microsoft Azure cloud omgeving. Met andere woorden, je werkt aan de AI/ML oplossingen van begin tot eind:
van concept, ontwikkeling en implementatie tot beheer en monitoring van de tools in productie.
Het bouwen van data pipelines voor data analyse en machine learning producten.
Verzamelen van data uit verschillende bronnen en deze ontsluiten voor collega’s.
Transformeren van data naar een bruikbaar formaat.
Bouw en onderhoud van data infrastructuur en oplossingen.
Werken in een Agile team met DevOps verantwoordelijkheid.
CowManager is een innovatief en wereldwijd opererend bedrijf in de agrarische sector, gedreven door big data en het welzijn van koeien. Als uitvinders van de eerste oorsensortechnologie voor melkvee blijven we continu innoveren met geavanceerde software en systemen. Door de hoeveelheid aan (sensor)data en complexiteit van het monitoren zijn we voorloper en constant op zoek naar super schaalbare en robuuste oplossingen. Je hebt minimaal een HBO of WO werk- en denkniveau aangevuld met 3 jaar werkervaring als Data Scientist, Data engineer of Machine Learning engineer;
Je hebt ervaring met Python, met een focus op object-oriented programming en PySpark.;
Tevens sterke SQL kennis met betrekking tot data manipulatie en analyse;
Je hebt ervaring ophet gebied van data-analyse en machine learning;
Je hebt ervaring met Azure cloud platform;
Je heb ML pipelinessuccessvol in productie gebracht;
Als persoon ben je klantgericht, teamplayer en creatief in het bedenken van oplossingen en verbeteringen.
Een moderne werkomgeving met de nieuwste technologieën;
~ Werken aaninnovatieve technologie met direct zichtbare impact;
~ Dagelijks gratis en vers fruit op kantoor.
Sorry, deze vacature is niet beschikbaar in jouw regio
7
Data And Machine Learning Developer
3481 Harmelen, Utrecht
CowManager
Vandaag
Taak bekeken
Functieomschrijving
Ga jij met ons de uitdaging aan om met onze data de resultaten van melkveehouders wereldwijd te verbeteren én bij te dragen aan de gezondheid van koeien? Sluit je aan bij het meest innovatieve bedrijf in de sector en werk mee aan oplossingen die écht impact maken! Met jou als onze nieuwe MLOps engineer blijven we bouwen aan onze ambitie en zetten we de snelle groei van de afgelopen jaren voort.
Samen met je team draai je projecten die met onze data nieuwe inzichten voor melkveehouders moeten opleveren. Als eerste koe-monitoringsysteem heeft CowManager een model beschikbaar voor haar klanten dat voorspelt welke koeien ziek gaan worden, nog voordat er klinische symptomen zijn. Samen met de Data Engineers en Scientisten werk je aan de data en machine learning pipelines om het model in productie te kunnen zetten in onze Microsoft Azure cloud omgeving. Met andere woorden, je werkt aan de AI/ML oplossingen van begin tot eind:
van concept, ontwikkeling en implementatie tot beheer en monitoring van de tools in productie.
Het bouwen van data pipelines voor data analyse en machine learning producten.
Verzamelen van data uit verschillende bronnen en deze ontsluiten voor collega’s.
Transformeren van data naar een bruikbaar formaat.
Bouw en onderhoud van data infrastructuur en oplossingen.
Werken in een Agile team met DevOps verantwoordelijkheid.
CowManager is een innovatief en wereldwijd opererend bedrijf in de agrarische sector, gedreven door big data en het welzijn van koeien. Als uitvinders van de eerste oorsensortechnologie voor melkvee blijven we continu innoveren met geavanceerde software en systemen. Door de hoeveelheid aan (sensor)data en complexiteit van het monitoren zijn we voorloper en constant op zoek naar super schaalbare en robuuste oplossingen. Je hebt minimaal een HBO of WO werk- en denkniveau aangevuld met 3 jaar werkervaring als Data Scientist, Data engineer of Machine Learning engineer;
Je hebt ervaring met Python, met een focus op object-oriented programming en PySpark.;
Tevens sterke SQL kennis met betrekking tot data manipulatie en analyse;
Je hebt ervaring ophet gebied van data-analyse en machine learning;
Je hebt ervaring met Azure cloud platform;
Je heb ML pipelinessuccessvol in productie gebracht;
Als persoon ben je klantgericht, teamplayer en creatief in het bedenken van oplossingen en verbeteringen.
Een moderne werkomgeving met de nieuwste technologieën;
~ Werken aaninnovatieve technologie met direct zichtbare impact;
~ Dagelijks gratis en vers fruit op kantoor.
Samen met je team draai je projecten die met onze data nieuwe inzichten voor melkveehouders moeten opleveren. Als eerste koe-monitoringsysteem heeft CowManager een model beschikbaar voor haar klanten dat voorspelt welke koeien ziek gaan worden, nog voordat er klinische symptomen zijn. Samen met de Data Engineers en Scientisten werk je aan de data en machine learning pipelines om het model in productie te kunnen zetten in onze Microsoft Azure cloud omgeving. Met andere woorden, je werkt aan de AI/ML oplossingen van begin tot eind:
van concept, ontwikkeling en implementatie tot beheer en monitoring van de tools in productie.
Het bouwen van data pipelines voor data analyse en machine learning producten.
Verzamelen van data uit verschillende bronnen en deze ontsluiten voor collega’s.
Transformeren van data naar een bruikbaar formaat.
Bouw en onderhoud van data infrastructuur en oplossingen.
Werken in een Agile team met DevOps verantwoordelijkheid.
CowManager is een innovatief en wereldwijd opererend bedrijf in de agrarische sector, gedreven door big data en het welzijn van koeien. Als uitvinders van de eerste oorsensortechnologie voor melkvee blijven we continu innoveren met geavanceerde software en systemen. Door de hoeveelheid aan (sensor)data en complexiteit van het monitoren zijn we voorloper en constant op zoek naar super schaalbare en robuuste oplossingen. Je hebt minimaal een HBO of WO werk- en denkniveau aangevuld met 3 jaar werkervaring als Data Scientist, Data engineer of Machine Learning engineer;
Je hebt ervaring met Python, met een focus op object-oriented programming en PySpark.;
Tevens sterke SQL kennis met betrekking tot data manipulatie en analyse;
Je hebt ervaring ophet gebied van data-analyse en machine learning;
Je hebt ervaring met Azure cloud platform;
Je heb ML pipelinessuccessvol in productie gebracht;
Als persoon ben je klantgericht, teamplayer en creatief in het bedenken van oplossingen en verbeteringen.
Een moderne werkomgeving met de nieuwste technologieën;
~ Werken aaninnovatieve technologie met direct zichtbare impact;
~ Dagelijks gratis en vers fruit op kantoor.
Sorry, deze vacature is niet beschikbaar in jouw regio
8
Senior Researcher - Machine Learning - Microsoft Research
Amsterdam, Noord Holland
Microsoft Corporation
23 dagen geleden geplaatst
Taak bekeken
Functieomschrijving
Deep learning has only just started its transformative impact on the natural sciences. In Microsoft Research AI for Science we are seeking to solve some of the fundamental challenges in the molecular sciences with deep learning.
For our lab in Cambridge, UK, or Amsterdam, NL we are seeking Machine Learning Researcher candidates at the intersection of chemistry and drug discovery. If you are passionate about this research area and believe you can make a lasting impact, we would love to receive your application.
Microsoft's mission is to empower every person and every organization on the planet to achieve more, and we're dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.
This post will be open until the position is filled. When submitting your application, include your CV with a list of publications as an attachment.
**Responsibilities**
+ Contribute to and drive an ambitious, high-impact, machine learning research agenda in the molecular sciences.
+ Design and develop new machine learning models and algorithms.
+ Write code to run and evaluate large scale ML experiments.
+ Work with internal and external partners to deploy and evaluate models and workflows.
+ Prepare technical papers and presentations.
+ Working on a day-to-day basis with an international and interdisciplinary research team on one overarching research goal.
**Qualifications**
**Required:**
+ Track record in Deep Learning research, as evidenced by a PhD or similar research experience in the field.
+ Experience designing and optimizing new architectures and algorithms, and running experiments and analyses to study their performance.
+ Experience in Python software development, ideally demonstrated by published software projects (e.g., github).
+ Experience in developing and implementation of deep learning systems (e.g., in PyTorch or JAX).
**Preferred:**
+ Experience working with graph data, reinforcement learning, and/or generative models.
+ Experience with molecular data in real-world drug discovery.
+ Track record of publications in ML conferences and/or scientific journals.
# Research # AI for Science
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
For our lab in Cambridge, UK, or Amsterdam, NL we are seeking Machine Learning Researcher candidates at the intersection of chemistry and drug discovery. If you are passionate about this research area and believe you can make a lasting impact, we would love to receive your application.
Microsoft's mission is to empower every person and every organization on the planet to achieve more, and we're dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.
This post will be open until the position is filled. When submitting your application, include your CV with a list of publications as an attachment.
**Responsibilities**
+ Contribute to and drive an ambitious, high-impact, machine learning research agenda in the molecular sciences.
+ Design and develop new machine learning models and algorithms.
+ Write code to run and evaluate large scale ML experiments.
+ Work with internal and external partners to deploy and evaluate models and workflows.
+ Prepare technical papers and presentations.
+ Working on a day-to-day basis with an international and interdisciplinary research team on one overarching research goal.
**Qualifications**
**Required:**
+ Track record in Deep Learning research, as evidenced by a PhD or similar research experience in the field.
+ Experience designing and optimizing new architectures and algorithms, and running experiments and analyses to study their performance.
+ Experience in Python software development, ideally demonstrated by published software projects (e.g., github).
+ Experience in developing and implementation of deep learning systems (e.g., in PyTorch or JAX).
**Preferred:**
+ Experience working with graph data, reinforcement learning, and/or generative models.
+ Experience with molecular data in real-world drug discovery.
+ Track record of publications in ML conferences and/or scientific journals.
# Research # AI for Science
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
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