Senior Data Scientist, Machine Learning Engineer
Core
Building end-to-end ML and LLM-driven services (including RAG) that power autonomous AI agents for enterprise clients to resolve cases and optimize workflows.
Role type
Senior IC Machine Learning Engineer (LLM/Agentic AI)
Builds
Production ML services, LLM workflows, and AI agent infrastructure for enterprise SaaS customers.
Domain
Enterprise AI / Agentic AI / LLM Operations
Deliverable
production ML models
Required skills
Python engineering, end-to-end ML solution delivery, NLP/LLM expertise (transformers, embeddings, prompt design), backend fundamentals (RESTful services, SQL/NoSQL), data processing (pandas/NumPy, batch/stream processing, ETL orchestration)
Preferred skills
LLM ops and safety (eval frameworks, guardrails, red-teaming), model optimization (quantization, distillation), AWS ML stack, vector databases, reinforcement learning, agent frameworks
Technologies
Python, transformers, RAG, CI/CD, Airflow, Step Functions, SageMaker, Pinecone, Elasticsearch, pgvector, FAISS, DeepLake, GitHub Copilot, Claude Code
Responsibilities
Own end-to-end delivery from ideation to production and operations; Stand up robust training/evaluation pipelines; Transform ML models and LLM workflows into reusable production services; Collaborate with Product Owners to shape product requirements; Conduct code reviews and champion engineering excellence; Leverage AI coding assistants to automate engineering workflows
Seniority
Senior, hands-on IC