Job Title: Data Science Engineer
Location: Woodland Hills, CA
Pay rate: $53/hr
Role Overview:
We are seeking a highly experienced Data Science Engineer (12+ years) to design and develop scalable Machine Learning and Generative AI solutions.
The ideal candidate has strong Python expertise, deep experience in model training, document processing, and working with vector databases and modern GenAI frameworks.
Key Responsibilities:
- Develop and deploy ML 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 Databases and MongoDB
- Ensure code quality, scalability, and production readiness
Required Skills & Experience:
- 12+ years of experience as a Data Science Engineer building scalable ML and GenAI solutions
- 6+ years of strong Python experience with hands-on model training and document processing pipelines
- 6+ years working with vector databases and modern ML/GenAI frameworks
- 6+ years experience building LLM-based applications, including document extraction, parsing, and chunking
- 6+ years experience in ML workflows including training, evaluation, fine-tuning, and embedding/vector search implementation
- 6+ years experience integrating ML models with Vector DBs and MongoDB
- Strong understanding of ML algorithms and Generative AI concepts
- Experience working with Vector Databases and/or MongoDB
Skills:
Algorithms, Artificial Intelligence (AI), Data Science, Database Design, Documentation Models, Machine Learning, MongoDB, Python Programming/Scripting Language, Scalable System Development, Shallow Parsing
About the Company:
Axelon Services Corporation