Lead ML Operations Engineer
Bangalore - IT Bhartiya City, India
INR 3799K-5500K (estimate) Senior-level Full Time
Tasks
- Design LLM solutions
- Develop conversational AI and agent workflows
- Drive AI adoption training and best practices
- Enable and support AI Champions community
- Enable multi agent architectures
- Ensure AI governance compliance security privacy DLP
- Identify and scale high-impact AI use cases
- Implement prompt engineering and RAG
- Integrate AI solutions with enterprise data platforms
- Manage and resolve platform access and usage issues
- Oversee agent assistant design testing deployment monitoring
- Own ChatGPT enterprise AI solutions roadmap
- Prioritize and manage AI use case lifecycle
- Provide stakeholder updates and recommendations
- Support AWS and Snowflake based AI projects
- Track AI adoption performance business impact
Perks/Benefits
Skills/Tech-stack
AI Governance | AWS | Agent systems | Agent-based | Agent-based systems | Artificial Intelligence | Conversational AI | DLP | Data integration | Generative AI | Language Models | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Systems | Privacy | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | SQL | Security | Snowflake
Education
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