Lead ML Engineer – Classical ML & GenAI/RAG
Core
Lead ML Engineer responsible for building, deploying, and supporting production-grade classical ML and GenAI/RAG solutions.
Role type
Senior hands-on IC ML Engineer (Classical ML & GenAI/RAG)
Builds
Production ML models, GenAI/LLM/RAG applications, automated pipelines
Domain
Machine Learning, Generative AI, Data Science
Deliverable
production ML models | product features
Required skills
Classical ML (supervised/unsupervised), GenAI/LLM/RAG development, Python, SQL, MLOps, model deployment, feature engineering, data leakage prevention, software engineering best practices
Preferred skills
Cloud platforms (AWS/Azure/GCP), Docker, Kubernetes, model serving, LLM evaluation frameworks, vector databases
Technologies
Python, SQL, Git, Docker, Kubernetes, AWS, Azure, GCP
Responsibilities
Design and productionize ML solutions for real-world business problems; Build and optimize supervised/unsupervised models; Own end-to-end ML lifecycle; Develop reusable Python/SQL code and automated pipelines; Deploy and support models in production with monitoring; Provide technical leadership and mentoring; Develop and support GenAI/LLM/RAG applications
Seniority
Senior, hands-on IC