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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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