Job Description

At Roche, were driven by a shared passion for transforming healthcare with innovative solutions, and we’re looking for a Senior Data Engineer with a deep passion for Machine Learning Operations (MLOps) to join our team. As a part of the Analytics & Insights Product Line , you will work in a multidisciplinary team, supporting the growth of our platform and helping to revolutionize the field of MLOps. Your Opportunity: Research and implement MLOps tools, frameworks, and platforms for Data Science projects. Contribute to increasing MLOps maturity within the organization through a structured backlog of activities. Introduce agile and automated approaches to Data Science processes. Lead internal training and presentations on MLOps tools and their benefits. Who You Are: 7+ years of hands-on MLOps experience. Strong experience with Kubernetes . Demonstrated experience in operationalizing Data Science projects using popular MLOps frameworks such as Kubeflow or AWS SageMaker . A solid understanding of ML and AI concepts and hands-on experience with ML model development. Proficient in Python for both machine learning tasks and automation. Good knowledge of Bash and Unix command-line tools. Experience with DevOps , CI/CD/CT , and pipeline implementation . Familiar with AWS , with knowledge of other cloud providers considered a plus. Exposure to LLMOps and genAI technologies. Strong communication skills, with experience in running project teams. Why Join Us: This is an excellent opportunity for an experienced MLOps professional to advance their career by joining a global leader in biotechnology, working on cutting-edge technologies that have a direct impact on improving patient care. We offer a collaborative and inclusive environment where you can grow your technical skills and contribute to building innovative solutions. Interested in joining our team? Apply today to make an impact with Roche!