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ModelOps Professional

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Onsite

ModelOps Professional

Golden Opportunities

ModelOps Professional

Skills

Deep LearningMachine LearningAINLP / Natural Language ProcessingRisk Management

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

21 September 2026

What they need


  • Location: Bangalore/Hyderabad/Chennai/Pune
  • Candidate Location: Bangalore/Hyderabad/Chennai/Pune
  • Candidate Specification: 10+ years of Experience
  • Education: Any Bachelor s degree / MBA

Job Description :

  • Define and execute enterprise ModelOps, MLOps, and LLMOps strategies.
  • Lead operationalization of ML and Generative AI solutions from development to production.
  • Establish governance, reliability, monitoring, and support frameworks for AI platforms.
  • Drive AI platform modernization and continuous improvement initiatives.
  • Strong understanding of Machine Learning, Deep Learning, NLP, and Generative AI concepts.
  • Experience deploying and supporting ML models including classification, regression, forecasting, clustering, recommendation, and NLP models.
  • Hands-on experience with LLMs, RAG architectures, fine-tuning approaches, prompt engineering, and Agentic AI solutions.
  • Collaborate with Data Scientists to establish model evaluation, retraining, and optimization processes.
  • Define and track model performance, explainability, fairness, and business impact metrics.
  • Build CI/CD/CT pipelines for ML and LLM deployments.
  • Implement model versioning, experiment tracking, feature stores, and model registries.
  • Establish monitoring for model drift, data drift, hallucinations, toxicity, prompt injection, latency, and cost optimization.
  • Manage deployment and monitoring of AI agents, RAG solutions, and multi-agent systems.
  • Implement Responsible AI and Model Risk Management frameworks.

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