Lead Machine Learning Engineer
Core
Design, develop, and deploy end-to-end Machine Learning and Generative AI solutions at scale for enterprise clients.
Role type
Lead Machine Learning Engineer (GenAI & Production)
Builds
Production-grade ML models, recommendation systems, NLP solutions, and GenAI applications (RAG, Agentic AI)
Domain
Enterprise Technology / Generative AI / HR Analytics
Deliverable
production ML models
Required skills
Machine Learning, Generative AI, LLMs, RAG, Agentic AI, Python, SQL, Spark, PyTorch, TensorFlow, Scikit-learn, Docker, Kubernetes, Cloud Platforms (AWS/Azure/GCP), MLOps
Preferred skills
LLM optimization for production, AI system maintenance, HR/people analytics domain expertise
Technologies
OpenAI, Azure OpenAI, Anthropic Claude, Llama, Mistral, Gemini
Responsibilities
Design and implement RAG architectures and multi-agent frameworks; Build and optimize end-to-end ML pipelines; Drive best practices in MLOps and model governance; Collaborate with Product and Engineering teams to deliver business impact
Seniority
Lead, hands-on IC with strategic oversight
