ML Data Science Engineer

Title: ML Engineering Data Science Engineer (hybrid)
Location: Woodland Hills, CA Pay rate: $53/hr

• We are seeking a highly skilled Data Science Engineer to design and develop scalable ML and Generative AI solutions.
• The ideal candidate will have deep expertise in Python, hands‑on experience in model training, document processing pipelines, and strong knowledge of vector databases and modern ML/GenAI frameworks.

• Data Science Engineer to design and develop scalable ML and Generative AI solutions.
• Python, hands‑on experience in model training, document processing pipelines.
• Vector databases and modern ML/GenAI frameworks, deploy machine learning and GenAI solutions using Python Design.
• LLM-based applications Build document extraction, parsing, and chunking pipelines for structured and unstructured data Train, evaluate, and fine‑tune ML models.
• workflows Implement embedding generation and vector search solutions Integrate ML models with Vector DBs and MongoDB Ensure code quality, scalability, and production readiness.
• Solid understanding of ML algorithms and Generative AI concepts Experience working with Vector Databases and/or MongoDB.

• Develop and deploy machine learning and GenAI solutions using Python Design and optimize prompt engineering strategies for LLM-based applications Build document extraction, parsing, and chunking pipelines for structured and unstructured data Train, evaluate, and fine‑tune ML models; manage tagging and labeling workflows Implement embedding generation and vector search solutions Integrate ML models with Vector DBs and MongoDB Ensure code quality, scalability, and production readiness

• Expert‑level proficiency in Python Strong experience in model training, evaluation, and tagging workflows.
• Hands‑on experience with document extraction and chunking techniques.
• Solid understanding of ML algorithms and Generative AI concepts Experience working with Vector Databases and/or MongoDB.