Algorithms, Artificial Intelligence (AI), Data Science, Database Design, Documentation Models, Machine Learning, MongoDB, Python Programming/Scripting Language, Scalable System Development, Shallow Parsing, Workflow Analysis
Job Title: Lead II - ML Engineering Data Science Engineer (Onsite)
Location: Woodland Hills, CA
Pay rate: $53/hr
Role Overview
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.
Key Responsibilities
- 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
Required Qualifications
- 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
Skills:- 12+ - Data Science Engineer to design and develop scalable ML and Generative AI solutions.
- 6+ - Python, hands-on experience in model training, document processing pipelines.
- 6+ - vector databases and modern ML/GenAI frameworks, deploy machine learning and GenAI solutions using Python Design
- 6+ - LLM-based applications Build document extraction, parsing, and chunking pipelines for structured and unstructured data Train, evaluate, and fine-tune ML models
- 6+ - workflows Implement embedding generation and vector search solutions Integrate ML models with Vector DBs and MongoDB Ensure code quality, scalability, and production readiness
- 6+ - Solid understanding of ML algorithms and Generative AI concepts Experience working with Vector Databases and/or MongoDB