ML Engineering Data Science

HCL Global Systems, Inc.

$120K — $150K *
US-AnywhereRemote in Woodland Hills, CA
Enterprise Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 12+ years in Data Science Engineering focusing on scalable ML solutions and Generative AI.
  • 6+ years of hands-on experience with Python for model training and document processing.
  • 6+ years working with vector databases and modern ML/GenAI frameworks.
  • 6+ years developing LLM-based applications with document extraction and parsing capabilities.
  • 6+ years implementing efficient workflows, integration of ML models with Vector DBs and MongoDB.
  • Solid understanding of ML algorithms and Generative AI concepts.

Responsibilities

  • Develop and deploy scalable machine learning and Generative AI solutions using Python.
  • Design and optimize prompt engineering strategies for large language models (LLMs).
  • Build and optimize document extraction, parsing, and chunking pipelines for data processing.
  • Train, evaluate, and fine-tune machine learning models while managing tagging workflows.
  • Implement embedding generation and vector search solutions to enhance data retrieval.
  • Integrate machine learning models with Vector databases and MongoDB for improved performance.
  • Ensure the quality, scalability, and production readiness of developed code.

Benefits

  • Hybrid work environment out of Woodland Hills, CA.
  • Opportunity to work on cutting-edge technologies in ML and Generative AI.
  • Collaborative team culture that encourages innovation and knowledge sharing.
Full Job Description
Role: ML Engineering Data Science
Location - Woodland Hills, CA (Hybrid)

Must Have Skills
Skill 1 - Yrs of Exp - 12+ - Data Science Engineer to design and develop scalable ML and Generative AI solutions.
Skill 2 - Yrs of Exp - 6+ - Python, hands-on experience in model training, document processing pipelines.
SKill 3 - Yrs Of Exp - 6+ - vector databases and modern ML/GenAI frameworks, deploy machine learning and GenAI solutions using Python Design
SKill 4 - Yrs Of Exp - 6+ - LLM-based applications Build document extraction, parsing, and chunking pipelines for structured and unstructured data Train, evaluate, and fine-tune ML models
Skill 5 - Yrs of Exp - 6+ - workflows Implement embedding generation and vector search solutions Integrate ML models with Vector DBs and MongoDB Ensure code quality, scalability, and production readiness
Skill 6 - Yrs of Exp - 6+ - Solid understanding of ML algorithms and Generative AI concepts Experience working with Vector Databases and/or MongoDB

Job Title: Lead II - ML Engineering Data Science Engineer 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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