Lead Machine Learning Engineer
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Would you like to work on the leading edge of applied machine learning (ML)? Do you want to be among the first in Europe who implement ML on a full scale in one of the world's biggest pharmaceutical companies? Are you familiar with regulated environments and have a sound knowledge on how to integrate ML methods and deep learning into business processes? If so, then this could be the right opportunity for you. Apply today!
The Position
Novo Nordisk continues to invest in enabling new technologies for our manufacturing sites so they can provide high quality products in a sustainable and efficient way for the millions of patients that rely on our products. You will be playing an instrumental role in partnering with the business to bring machine learning to life at our manufacturing sites.You will be working with maturing and developing how we take ML into production, and thereby setting the standard for integrating ML into our processes, organisation, and quality management system. This will be needed for the scaling of ML models (prototype and mature) prepared by the data/ML scientists that will be taken into production on multiple production lines/sites.You will deliver a robust and reliable operation of models, data, software, and hardware and ensure compliance and operational excellence of the supported business process. You will work closely with data scientist, validation lead, developers and process people from line of business and partner with stakeholders across the organization and external partners.You will work with multiple aspects like MLOps infrastructure, model management, deployment, and monitoring of models and how this should be done to live up to requirements and best practices for integrating this into the business process and shopfloor. You will be working in a highly regulated area, with several internal and external stakeholders with a diverse background.As the department is new and growing you will also be part of shaping the department and help identify how we best succeed with enabling and maintaining machine learning and other important data science areas in our global manufacturing processes. This also include assessing the competencies and skills we need to succeed so we can develop the dedicated people in the department, recruit new people and make the right collaboration with externals partners.Qualifications You have a relevant Master´s degree in Data Science, Computer Science, Engineering, Software Development or equivalent.In addition, you have:3+ years with proven experience as lead machine learning engineer or similar role Some years of experience from a regulated industry (manufacturing or IT), preferably Pharma (and GxP) Hands-on experience with design, implementation and operation of scalable machine learning systems and integration into a business process, (preferable in a cloud environment like AWS and/or Azure including edge deployment and computing) i.e., MLOps in practice on preferable an organisational scale Experience with machine learning techniques, such as deep learning preferable with computer vision application such as image classification, segmentation and object detection Proficient in the programming langue Python and familiarity with machine learning frameworks like TensorFlow, PyTorch and Scikit-learn Experience with containerization technologies such as Docker or Kubernetes Experience with software development like CI/CD, cloud infrastructure, IoT/Edge deployment and Edge computing Experience with cloud services from AWS and Azure, such as AWS SageMaker and Azure Machine Learning is an advantage It is an advantage but not a requirement if you have experience with project/product management. As our corporate language is English, we expect you to be fluent both in writing and spoken.As a person you are driven by a high-quality mindset and have an ability to enforce this in a pragmatic way. You are respectful, empathic, and open-minded in your communication with stakeholders with various educational and cultural background, and like the diversity and complexity of these interactions.
About the Department
Data Science is a newly established and growing department that focus on maturing and enabling Data Science, including Machine Learning, as a technology for use in Novo Nordisk’s Manufacturing Processes across the globe in close collaboration and co-creation with our deep knowledge and dedicated colleagues from Manufacture.Our ambition is making best practices and global standards for process, people, and technology for development, implementation and operational excellence of Data Science Models and make the necessary digital solutions and competencies available to use this technology across Product Supply.We are part of Digital Transformation & Technology which is anchored in the TEC area within Global Product Supply (PSQIT TEC). In the TEC area we are highly dedicated to be on the forefront of tech, enabling the use of modern technology in Product Supply for the purpose of delivering the highest quality to patients in a sustainable and efficient way.We offer a modern working environment; free flow of coffee and tea, fruit, canteens serving world cuisine, take-out dinner options, access to internal fitness centres at our sites, bike repair at work, electric car charge stations, health insurance, social clubs, team outings and so much more!
Working at Novo Nordisk
At Novo Nordisk, we don’t wait for change. We drive it. We’re a dynamic company in an even more dynamic industry, and we know that what got us to where we are today is not necessarily what will make us successful in the future. We embrace the spirit of experimentation, striving for excellence without fixating on perfection. We never shy away from opportunities to develop, we seize them. From research and development, through to manufacturing, marketing and sales – we’re all working to move the needle on changing the lives of people living with diabetes and other chronic diseases.
Contact
For further information, please contact hiring manager Gitte Bjørg Windfeldt, Head of Data Science on +45 3075 7644.For any questions regarding the recruitment process, please contact Talent Acquisition Consultant Andreas Gersel on +45 3448 2559.
Deadline 15 March 2023Interviews will be conducted on an ongoing basis, so we encourage you to apply as soon as possible.
We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.
The Position
Novo Nordisk continues to invest in enabling new technologies for our manufacturing sites so they can provide high quality products in a sustainable and efficient way for the millions of patients that rely on our products. You will be playing an instrumental role in partnering with the business to bring machine learning to life at our manufacturing sites.You will be working with maturing and developing how we take ML into production, and thereby setting the standard for integrating ML into our processes, organisation, and quality management system. This will be needed for the scaling of ML models (prototype and mature) prepared by the data/ML scientists that will be taken into production on multiple production lines/sites.You will deliver a robust and reliable operation of models, data, software, and hardware and ensure compliance and operational excellence of the supported business process. You will work closely with data scientist, validation lead, developers and process people from line of business and partner with stakeholders across the organization and external partners.You will work with multiple aspects like MLOps infrastructure, model management, deployment, and monitoring of models and how this should be done to live up to requirements and best practices for integrating this into the business process and shopfloor. You will be working in a highly regulated area, with several internal and external stakeholders with a diverse background.As the department is new and growing you will also be part of shaping the department and help identify how we best succeed with enabling and maintaining machine learning and other important data science areas in our global manufacturing processes. This also include assessing the competencies and skills we need to succeed so we can develop the dedicated people in the department, recruit new people and make the right collaboration with externals partners.Qualifications You have a relevant Master´s degree in Data Science, Computer Science, Engineering, Software Development or equivalent.In addition, you have:
About the Department
Data Science is a newly established and growing department that focus on maturing and enabling Data Science, including Machine Learning, as a technology for use in Novo Nordisk’s Manufacturing Processes across the globe in close collaboration and co-creation with our deep knowledge and dedicated colleagues from Manufacture.Our ambition is making best practices and global standards for process, people, and technology for development, implementation and operational excellence of Data Science Models and make the necessary digital solutions and competencies available to use this technology across Product Supply.We are part of Digital Transformation & Technology which is anchored in the TEC area within Global Product Supply (PSQIT TEC). In the TEC area we are highly dedicated to be on the forefront of tech, enabling the use of modern technology in Product Supply for the purpose of delivering the highest quality to patients in a sustainable and efficient way.We offer a modern working environment; free flow of coffee and tea, fruit, canteens serving world cuisine, take-out dinner options, access to internal fitness centres at our sites, bike repair at work, electric car charge stations, health insurance, social clubs, team outings and so much more!
Working at Novo Nordisk
At Novo Nordisk, we don’t wait for change. We drive it. We’re a dynamic company in an even more dynamic industry, and we know that what got us to where we are today is not necessarily what will make us successful in the future. We embrace the spirit of experimentation, striving for excellence without fixating on perfection. We never shy away from opportunities to develop, we seize them. From research and development, through to manufacturing, marketing and sales – we’re all working to move the needle on changing the lives of people living with diabetes and other chronic diseases.
Contact
For further information, please contact hiring manager Gitte Bjørg Windfeldt, Head of Data Science on +45 3075 7644.For any questions regarding the recruitment process, please contact Talent Acquisition Consultant Andreas Gersel on +45 3448 2559.
Deadline 15 March 2023Interviews will be conducted on an ongoing basis, so we encourage you to apply as soon as possible.
We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.
Information og data
Denne ledige stilling har jobtypen "Øvrige", og befinder sig i kategorien "Øvrige stillinger".
Arbejdsstedet er beliggende i Bagsværd.
Jobbet er oprettet på vores service den 28.11.2022, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
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