Senior MLOps Engineer

Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

The Position

In Roche Informatics, we build on Roche’s 125-year history as one of the world’s largest biotech companies, globally recognized for providing transformative innovative solutions across major disease areas. We combine human capabilities with cutting-edge technological innovations to do now what our patients need next. Our commitment to our patients’ needs motivates us to deliver technology that evolves the practice of medicine.

Be part of our inclusive team at Roche Informatics, where we’re driven by a shared passion for technological novelties and optimal IT solutions. 

Your Opportunity

The AA&AI  Platforms & Frameworks team offers an opportunity to grow your technical skills by joining a multi disciplinary team and getting support to learn about new technologies in the very exciting field of MLOps. We are looking for a senior data engineer with a passion for Machine Learning Operations to join our team in Analytics & Insights Product Line to help us grow our platform.

Who you are :
– Research and implement MLOps tools, frameworks and platforms for our Data Science projects. 
– Work on a backlog of activities to increase the MLOps maturity in the organization.
– Proactively introduce a modern, agile and automated approach to Data Science.
– Conduct internal training and presentations on the benefits and use of MLOps tools.

Required Experience and Skills:
-7+ years of MLOps experience.
– Experience with Kubernetes.
– Experience in operationalization of Data Science projects (MLOps) using at least one of the popular – frameworks or platforms (e.g. Kubeflow & AWS Sagemaker).
– Good understanding of ML and AI concepts. Hands-on experience with ML model development.
– Proficiency in Python used for both ML and automation tasks. 
– Good knowledge of Bash and Unix command line toolkit.
– Experience with devops, CI/CD/CT, pipeline implementation.
– Experience with AWS (knowledge of other cloud providers is a plus).
– Experience with LLMOps and genAI.
– Strong communication skills.
– Experience in running project teams.

Who we are

At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

Roche is an Equal Opportunity Employer.