Machine Learning Ops Engineer

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.

Job Responsibilities:

• 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.