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Lead II - ML Engineering Data Science Engineer (Onsite)

Axelon Services Corporation

Los Angeles, CA

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JOB DETAILS
SALARY
JOB TYPE
Full-time
SKILLS
Algorithms, Artificial Intelligence (AI), Data Analysis, Data Science, Database Design, Documentation Models, Machine Learning, MongoDB, Python Programming/Scripting Language, Scalable System Development, Shallow Parsing, Software Engineering, Structured Data, Unstructured Data, Workflow Analysis
LOCATION
Los Angeles, CA
POSTED
30+ days ago
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

About the Company

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Axelon Services Corporation

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