We are the Global IT Solution Centre for Roche - one of the largest and most innovative pharmaceutical companies in the world.
We create Data Science-backed software to help patients, physicians and scientists face some of the greatest challenges in healthcare today.
We need a passionate Machine Learning Ops Engineer to help us in discovering and implementing state-of-the-art solutions for our Machine Learning projects to enable rapid experimentation, increase accuracy of our models and ensure high quality of our products.
Research and implement MLOps tools, frameworks and platforms for our Data Science projects.
Work on a backlog of activities to raise MLOps maturity in the organization.
Proactively introduce a modern, agile and automated approach to Data Science.
Conduct internal training and presentations about MLOps tools’ benefits and usage.
Required experience and qualifications:
Wide experience with Kubernetes is a must have.
Experience in operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube).
Good understanding of ML and AI concepts. Hands-on experience in ML model development.
Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit.
Experience in CI/CD/CT pipelines implementation.
Experience with cloud platforms - preferably AWS - would be an advantage.
Excellent communication skills in English, both verbal and in writing.
Roche is an equal opportunity employer.Information Technology, Information Technology > Application Development / Programming