Overview
Job Title: Lead Machine Learning Engineer – Agentic AI & Data Quality
Location: San Francisco, USA / Hyderabad, India
Experience: 6+ Years
About Deccan AI
Deccan AI is a fast-growing AI company founded by IIT Bombay & IIM Ahmedabad alumni. We build enterprise-grade LLM systems and AI-first operations with a mission to deliver AI for Good.
Role Overview
We’re hiring a Lead ML Engineer to drive our agentic AI strategy and enterprise data quality initiatives. You’ll design multi-agent systems, lead LLM fine-tuning and evaluation pipelines, and build scalable automated data QA frameworks for Fortune 500 deployments. This role combines deep technical ownership, production impact, and team leadership.
What You’ll Do
- Architect autonomous multi-agent systems and evaluation workflows
- Lead fine-tuning & RLHF pipelines for 7B–70B+ models
- Build data quality systems ensuring safety, accuracy & compliance
- Implement scalable MLOps, monitoring & deployment pipelines
- Develop client-aligned benchmarks, dashboards & reporting
- Mentor engineers and collaborate with product, research & client teams
What You Bring
- 6+ years in production ML (3+ years with LLMs/transformers)
- Proven experience deploying agentic AI systems
- Strong PyTorch, Hugging Face, Python & MLOps expertise
- Knowledge of evaluation, safety, and responsible AI frameworks
- Ability to lead architecture, guide teams & manage stakeholders
Nice to Have
- RLHF/agent research, open-source contributions, industry domain expertise
- Experience with security standards & large-scale enterprise systems
Why Join Us
- Own technical strategy for real enterprise AI systems
- Hybrid work with global teams (SF + Hyderabad)
- Competitive pay + equity
- Opportunity to build meaningful, responsible AI at scale