Senior MLOps Engineer
4 dni temu
Your responsibilities:
- Research and implement MLOps tools, platforms, and frameworks for Data Science projects.
- Enhance MLOps maturity by working through a backlog of tasks.
- Automate and modernize Data Science processes with agile methodologies.
- Provide internal training and presentations on MLOps tools and best practices.
We are looking for you, if you have:
- Experience with Kubernetes and MLOps platforms (e.g., Kubeflow, AWS SageMaker).
- Proficiency in Python, Bash, and Unix; experience with CI/CD pipelines.
- Knowledge of cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Experience with ML models and understanding of ML concepts.
- Familiarity with DevOps and Agile practices, plus infrastructure automation tools (e.g., Ansible, Terraform).
We offer:
- Participation in interesting and demanding projects
- Flexible working hours
- A great, non-corporate atmosphere
- Stable employment conditions (contract of employment or B2B contract)
- Opportunity to develop your career
We reserve the right to contact the selected candidates.
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