Cloud Machine Learning Engineer

4 days ago

Hyderabad, Telangana, India beBeeCloud Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Cloud ML Engineer Position

We are seeking a Cloud ML Engineer to design and implement robust machine learning pipelines using Amazon SageMaker, CodePipeline, Step Functions, and other AWS services.

Key Responsibilities:
  • Pipeline Development
    • Build maintainable and scalable CI/CD pipelines for machine learning workflows.
    • Automate model training, evaluation, deployment, and monitoring processes using cloud-based tools.
  • Infrastructure Management
    • Use Infrastructure-as-Code (IaC) tools to manage reproducible environments and automate infrastructure provisioning.
    • Design and architect scalable ML infrastructure using AWS services such as S3, Lambda, ECR, EC2, and SageMaker.
  • Monitoring and Logging
    • Implement model and data monitoring using SageMaker Model Monitor, CloudWatch, or third-party tools.
    • Set up logging, alerts, and dashboards to ensure model health and performance.
  • Governance and Compliance
    • Manage model registries, lineage tracking, and audit logging to support reproducibility and regulatory compliance.
    • Enable version control and approval workflows for ML assets.
  • Collaboration and Enablement
    • Work closely with data scientists, ML engineers, and DevOps teams to integrate ML workflows into existing infrastructure.
    • Educate and mentor cross-functional teams on MLOps best practices and AWS ML tooling.
    Requirements:
    • Minimum 12 years of experience in software engineering, DevOps, or ML Engineering.
    • Strong experience with Amazon Web Services (AWS).
    • Proficiency in Python, Bash, and scripting for automation.
    • Familiarity with CI/CD tools.
    • Experience with Docker and container orchestration in AWS.

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