ML Ops Expert

4 days ago

Hyderabad, Telangana, India beBeeMachineLearning Full time ₹ 20,83,300 - ₹ 25,17,300

We're seeking a seasoned expert in machine learning operations to design and implement scalable, secure, and automated ML pipelines using AWS services.

Key Responsibilities
  • Pipeline Design & Implementation
  • Develop robust CI/CD pipelines for ML using Amazon SageMaker Pipelines, CodePipeline, Step Functions, etc.
  • Automate model training, evaluation, deployment, and monitoring processes.
  • Infrastructure Management
  • Use Infrastructure-as-Code tools (e.g., CloudFormation, Terraform, CDK) to manage reproducible environments.
  • Design scalable ML infrastructure using AWS (e.g., S3, Lambda, ECR, EC2, SageMaker).
  • Monitoring & Logging
  • Implement model and data monitoring with SageMaker Model Monitor, CloudWatch, or third-party tools.
  • Set up logging, alerts, and dashboards to ensure model health and performance.
  • Governance & 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 & 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.
About this role
  • This is an exciting opportunity to join our team as a senior MLOps Specialist.
  • You will be responsible for designing and implementing scalable, secure, and automated ML pipelines using AWS services.
  • This role requires strong expertise in machine learning operations, AWS services, and cloud computing.

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