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MLOPs Engineer

2-7 Years
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  • Posted a month ago
  • Over 50 applicants
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Job Description

Key Responsibilities:

  • MLOps Pipeline Development: Design, build, and maintain end-to-end MLOps pipelines for deploying ML and GenAI models.
  • Automation: Automate model training, validation, deployment, and monitoring using industry best practices.
  • CI/CD Optimization: Optimize CI/CD workflows for ML models and integrate them with cloud and on-premises infrastructure.
  • Model Serving: Develop scalable model serving solutions using frameworks like TensorFlow Serving, Triton Inference Server, or similar tools.
  • Versioning & Testing: Implement model versioning, A/B testing, and rollback strategies to ensure reliable model updates.
  • Collaboration: Work closely with Data Scientists to operationalize ML models and ensure reproducibility.
  • Monitoring & Observability: Monitor model performance, drift, and infrastructure health using ML observability tools. 

More Info

Job Type:
Function:
Employment Type:
Open to candidates from:
Indian

Job ID: 145007759

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