Principal Machine Learning Engineer
Core
Architecting and leading large-scale GenAI and agentic ML systems for enterprise workflows, focusing on reasoning, retrieval, tool use, and multi-modal integration.
Role type
Principal Machine Learning Engineer (AI/ML Technical Leader)
Builds
Scalable production pipelines for model training, fine-tuning, RAG, agent orchestration, and evaluation for enterprise AI agents.
Domain
Enterprise AI, Generative AI, Agentic Systems
Deliverable
production ML models
Required skills
Architecture of large-scale ML systems, GenAI and agentic system design, multi-modal model integration, evaluation loop design, system optimization (latency/cost/accuracy), cross-functional strategy alignment
Preferred skills
Experience with LLMs, SLMs, and custom model mixtures, deep learning research, autonomous agent development
Technologies
LLMs, SLMs, RAG, agent frameworks, MCP, vision pipelines
Responsibilities
Lead technical direction of GenAI and agentic ML systems, Architect scalable production pipelines for model training and orchestration, Define multi-year ML roadmap for GenAI infrastructure, Integrate cutting-edge ML methods and research, Optimize trade-offs between accuracy, latency, and cost, Champion engineering excellence in observability and testing, Mentor senior engineers and researchers, Collaborate cross-functionally to align ML innovation with enterprise needs, Influence data strategy
