
Advanced MLOps Engineer for Data Science Operations
5 dni temu
Improve data science operations and drive automation as an MLOps engineer. You'll implement tools, enhance processes, and provide training.
Senior MLOps with AWS
Key Responsibilities:- Research and integrate leading MLOps frameworks.
- Promote agile, automated data science practices across projects.
- Enhance MLOps maturity through process improvements.
- Develop internal training programs on MLOps best practices.
- Experience in Kubernetes, AWS, Kubeflow/SageMaker.
- Proficiency in Python, Bash/Unix programming languages.
- CI/CD pipeline management and ML model development expertise.
- Strong troubleshooting and communication skills.
- English language proficiency (B2+).
- B2B contract, full-time employment opportunity.
- Fully remote work arrangement.
- A streamlined recruitment process including a technical test.
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