Machine Learning Operations Professional

3 - 7 years

6 - 10 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Lifecycle Automation Build workflows for retraining, validation, and redeployment of models to keep them current and reliable.
  • Monitoring & Observability Develop systems to track model performance, drift, cost, and reliability in production environments.
  • Logging & Explainability Ensure every prediction is traceable, explainable, and auditable to build trust with Ops and clients.
  • Performance & Cost Optimization Identify opportunities to improve inference performance while reducing compute/storage costs.
  • Collaboration with AI/ML Teams Partner with Data Scientists and ML Engineers to translate model requirements into production-ready, maintainable workflows.
  • Tooling & Platform Management Standardize and scale the use of ML platforms, frameworks, and monitoring tools across the enterprise.
Required Skills & Experience
  • Strong programming skills in Python (must-have) with knowledge of C++ or Java as a plus.
  • Experience with Docker, Kubernetes, or similar orchestration platforms .
  • Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and their production lifecycle.
  • Hands-on experience with MLOps platforms and tools (MLflow, Kubeflow, SageMaker, etc).
  • Strong background in monitoring, logging, and performance tuning of production ML systems.
  • Exposure to Snowflake, ServiceNow data flows, and enterprise IT operations datasets .
  • Knowledge of cost optimization strategies for AI/ML workloads.

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IT Services and IT Consulting

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