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9 Roche Diabetes Care Jobs
Senior MLOps Engineer
Roche Diabetes Care
posted 6mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- 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.
- 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.
-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.
Employment Type: Full Time, Permanent
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Flexible timing
Alternate Saturday off
Within city
Day Shift
Roche Diabetes Care Benefits
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