MLOps Engineer
Veriipro
Key Skills Hands-on experience with Amazon SageMaker CI/CD setup for ML models using AWS CodePipeline & CodeBuild Strong experience with Docker and container orchestration (ECS/Fargate) ML model deployment, monitoring, and lifecycle management Data pipeline development using Python, PySpark, and Snowflake Proficiency in SQL and Bash/Shell scripting Experience with ML libraries: Pandas, NumPy, PyTorch, Scikit-learn Strong knowledge of AWS services: S3, IAM, Lambda, Step Functions, ECR Data and model quality monitoring experience Key Responsibilities Build and automate end-to-end ML pipelines Deploy and manage ML models in production Monitor model performance and data quality Maintain CI/CD workflows and infrastructure Ensure security, compliance, and system reliability Continuously optimize performance and cost #J-18808-Ljbffr
Vacancy posted 17 hours ago
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