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ML Data Science Engineer

Axelon Services Corporation

  • Aliso Viejo, CA
  • 30+ days ago
  • $53–$55 Per Hour
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Skills

  • Algorithmsunmatched
  • Artificial Intelligence (AI)unmatched
  • Data Analysisunmatched
  • Data Scienceunmatched
  • Database Designunmatched
  • Documentation Modelsunmatched
  • Machine Learningunmatched
  • MongoDBunmatched
  • Python Programming/Scripting Languageunmatched
  • Scalable System Developmentunmatched
  • Shallow Parsingunmatched
  • Software Engineeringunmatched
  • Structured Dataunmatched
  • Unstructured Dataunmatched

Description

Title: ML Engineering Data Science Engineer (hybrid)
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.
Required Skills:
  • Data Science Engineer to design and develop scalable ML and Generative AI solutions.
  • Python, hands-on experience in model training, document processing pipelines.
  • Vector databases and modern ML/GenAI frameworks, deploy machine learning and GenAI solutions using Python Design.
  • LLM-based applications Build document extraction, parsing, and chunking pipelines for structured and unstructured data Train, evaluate, and fine-tune ML models.
  • workflows Implement embedding generation and vector search solutions Integrate ML models with Vector DBs and MongoDB Ensure code quality, scalability, and production readiness.
  • Solid understanding of ML algorithms and Generative AI concepts Experience working with Vector Databases and/or MongoDB.
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

Numbers & Facts

LocationAliso Viejo, CA
Salary$53–$55 Per Hour

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