Data Engineer lead / ML Engineer - 13+ experience // local to GA , NJ

Data Engineer / ML Engineer Someone who can build data + ML systems, not just pipelines or models. 50% Data Engineering + 30% ML Engineering + 20% MLOps Core Data Engineering (Must‑Have) What to look for: Python (strong, hands‑on) Spark / PySpark Data modeling Building scalable pipelines Snowflake or similar cloud warehouse Distributed systems experience 2. Machine Learning Engineering (Must‑Have) What to look for: Feature engineering Model‑ready datasets Experience integrating ML models into pipelines Understanding of ML workflows (training → evaluation → inference) Experience with recommendation systems is a big plus 3. MLOps (Must‑Have) What to look for: Model deployment (SageMaker, ECS, Fargate) Monitoring, logging, drift detection CI/CD for ML Feature store concepts 4. AWS Cloud Experience (Must‑Have )What to look for :S 3Glu eLambd aECS/Fargat eSageMake rIAM fundamental s 5. Recommendation Systems (Strong Plu s)What to look fo r:Nearest‑neighbor search (Faiss, Annoy, ScaN N)Ranking mode lsRetrieval + scoring pipelin esEmbeddin gs6. Data + ML Integration (Must‑Hav e)What to look fo r:End‑to‑end pipelines (data → features → model → inferenc e)Batch + real‑time workflo wsExperience with merchant, customer, or behavioral datasets is a pl us 7. LLM / Agentic Experience (Nice‑to‑Ha ve)What to look f or:Vector databa sesRAG pipeli nesLangChain / LlamaIn dexEmbedding generat ionBedrock / OpenAI A PIs