Algorithms, Artificial Intelligence (AI), Data Science, Database Design, Documentation Models, Machine Learning, MongoDB, Python Programming/Scripting Language, Scalable System Development, Shallow Parsing
Location: Woodland Hills, CA - Hybrid
Pay Range: $50.00 - $55.00 - hourly
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
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Axelon Services Corporation