Senior Machine Learning Engineer
Core
Build customer-facing AI platform features for price, market, and MAP intelligence, handling real-time data at 100M+ records/day.
Role type
Senior Machine Learning Engineer (Production)
Builds
Production ML systems, RAG pipelines, embedding-based retrieval, and LLM-powered features for retail/e-commerce.
Domain
E-commerce, Retail, Competitive Intelligence
Deliverable
production ML models
Required skills
End-to-end ML lifecycle ownership, model training/fine-tuning/evaluation, RAG and vector database design, AWS ML services (SageMaker, Bedrock), MLOps (MLflow, W&B), Python engineering, cost/performance optimization.
Preferred skills
LLM fine-tuning vs prompt engineering strategy, inference cost reduction (distillation, quantization), entity resolution at scale, data pipeline orchestration (Airflow).
Technologies
AWS (SageMaker, Bedrock, Lambda, ECS/EKS, S3), Python, MLflow, SageMaker Pipelines, Weights & Biases, Cursor, Claude Code, GitHub Copilot, Airflow.
Responsibilities
Take customer problems from idea to working prototype, train/evaluate models for matching/classification/extraction, design and ship RAG/retrieval systems, own full ML lifecycle (experimenting, versioning, deployment, monitoring), build evaluation frameworks (golden sets, A/B testing), monitor production for drift/cost/latency.
Seniority
Senior, hands-on IC
