Lead Machine Learning Engineer
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Søborg
Are you enthusiastic about driving the design of next-generation healthcare solutions that will change the life of patients with diabetes and other serious chronic diseases? Do you want to be on the cutting edge of science to discover novel therapies and deliver technologies that patients both need and want?
Our dynamic team of scientists and engineers not only discover new therapies and technologies but also lead an aspirational charge to pioneer scientific breakthroughs that have the potential to prevent and ultimately cure chronic disease.
Apply today and join us for a life-changing career. The position As our new Lead Machine Learning (ML) engineer, you will contribute to designing, implementing, and deploying analytics products based on latest advances in ML, to create novel, first-class solutions with broad applications within healthcare technology.
Your tasks will include the following: Collaborate with data scientists from a wide variety of healthcare domains, to build advanced analytics solutions based on latest advances in ML. Conduct large-scale ML experiments, applying the latest advances in deep learning on heterogeneous data sources. Transform and grow data science prototypes into scalable, reliable, secure, and maintainable, ML-enabled software products based on distributed architectures. Build and maintain ML workflows and pipelines to manage the entire lifecycle of ML-enabled products, from inception and experimentation to serving, monitoring, and continuously improving ML solutions.
As a senior individual contributor, you will provide technical management and mentoring to the team members and support their career growth. You will work and collaborate in cross-functional teams with IT, data engineers, and data scientists in application areas ranging from real-world data and omics to computer vision and natural language processing. The workplace is in Denmark (Søborg), but flexible or remote work arrangements can be discussed.
Qualifications We are open to hiring at different levels of seniority and your experiences may include:
MSc degree with 5+ years of relevant experience or a PhD degree with 3+ years of relevant experience. Degrees within computer science, mathematics, engineering, physics, statistics, or a related quantitative discipline are preferred. Diverse ML modelling techniques over large-scale, imperfect, heterogeneous data sources, particularly applying deep learning. TensorFlow, PyTorch, scikit-learn. MLOps platforms, with an emphasis on open source, e.g. Kubeflow, MLflow Cloud & software engineering: microservices, Kubernetes, GPU & high-performance computing. Versioning (git), CI/CD, DevSecOps, observability, agile development. Data storage, workflows, and orchestration: RDBMS, NoSQL, graph databases, data warehouse, data lake. Airflow, Kubeflow Pipelines. Nice to have: Hands-on experience with AWS, e.g. EC2, ECR, Lambda, SageMaker. As a person you have thought leadership within the field of ML engineering and technical leadership of more junior team members in technical teams.
About the department The AI and Analytics Team is part of Novo Nordisk’s Data Science division, where we apply sophisticated algorithms and machine learning techniques to some of the hardest problems in the discovery and development of new healthcare solutions. By leveraging a blend of scientific, problem-solving, and quantitative skills, we provide high-level data insights that empower Novo Nordisk to further develop and deliver life-changing treatments. We work in multidisciplinary teams with strong internal collaboration across all areas of the organization and engage in external collaborations to ensure access to cutting edge research and technology, supporting each other grow, driven by the opportunity to make a difference in people’s lives.
Working at Novo Nordisk Novo Nordisk is its people. We know that life is anything but linear, and balancing what is important at different stages of our career is never easy. That’s why we make room for diverse life situations, always putting people first. We value our employees for the unique skills they bring to the table, and we work continuously to bring out the best in them. Working at Novo Nordisk is working toward something bigger than ourselves, and it’s a collective effort. Novo Nordisk relies on the joint potential and collaboration of its more than 40,000 employees. Together, we go further. Together, we’re life changing.
Contact To learn more about the role, reach out to Zeljko Agic, Director AI Tech Ops, at [email protected].
Deadline
Please apply by 1 April 2023.
Applications will be reviewed continuously, and interviews will be planned as soon as a suitable candidate is identified. You do not need to attach a cover letter to your application, but please include a few sentences about why you are applying in your resume or CV. To ensure an efficient and fair recruitment process, please refrain from adding a photo in your CV. 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.
Our dynamic team of scientists and engineers not only discover new therapies and technologies but also lead an aspirational charge to pioneer scientific breakthroughs that have the potential to prevent and ultimately cure chronic disease.
Apply today and join us for a life-changing career. The position As our new Lead Machine Learning (ML) engineer, you will contribute to designing, implementing, and deploying analytics products based on latest advances in ML, to create novel, first-class solutions with broad applications within healthcare technology.
Your tasks will include the following:
As a senior individual contributor, you will provide technical management and mentoring to the team members and support their career growth. You will work and collaborate in cross-functional teams with IT, data engineers, and data scientists in application areas ranging from real-world data and omics to computer vision and natural language processing. The workplace is in Denmark (Søborg), but flexible or remote work arrangements can be discussed.
Qualifications We are open to hiring at different levels of seniority and your experiences may include:
About the department The AI and Analytics Team is part of Novo Nordisk’s Data Science division, where we apply sophisticated algorithms and machine learning techniques to some of the hardest problems in the discovery and development of new healthcare solutions. By leveraging a blend of scientific, problem-solving, and quantitative skills, we provide high-level data insights that empower Novo Nordisk to further develop and deliver life-changing treatments. We work in multidisciplinary teams with strong internal collaboration across all areas of the organization and engage in external collaborations to ensure access to cutting edge research and technology, supporting each other grow, driven by the opportunity to make a difference in people’s lives.
Working at Novo Nordisk Novo Nordisk is its people. We know that life is anything but linear, and balancing what is important at different stages of our career is never easy. That’s why we make room for diverse life situations, always putting people first. We value our employees for the unique skills they bring to the table, and we work continuously to bring out the best in them. Working at Novo Nordisk is working toward something bigger than ourselves, and it’s a collective effort. Novo Nordisk relies on the joint potential and collaboration of its more than 40,000 employees. Together, we go further. Together, we’re life changing.
Contact To learn more about the role, reach out to Zeljko Agic, Director AI Tech Ops, at [email protected].
Deadline
Please apply by 1 April 2023.
Applications will be reviewed continuously, and interviews will be planned as soon as a suitable candidate is identified. You do not need to attach a cover letter to your application, but please include a few sentences about why you are applying in your resume or CV. To ensure an efficient and fair recruitment process, please refrain from adding a photo in your CV. 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 Søborg.
Jobbet er oprettet på vores service den 7.3.2023, 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.
- Øvrige
- Søborg
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