Data Science Engineer

Job Title: Lead II - ML Engineering Data Science Engineer

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

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