Urgent Role:- ML Engineering (Data Science Engineer) // Woodland Hills, CA - Onsite // Locals OR Nearby

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Rasani Revanth

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Apr 2, 2026, 6:11:11 PM (8 hours ago) Apr 2
to Rasani Revanth, rev...@everestglobalsolutionsinc.com

Hi Vendors,
I hope your day is going well
Please find the below requirements and let me know your response with an updated resume.

Job Title: Lead II – ML Engineering (Data Science Engineer)

Location: Woodland Hills, CA
Work Type: Onsite/Hybrid

Role Overview

We are seeking a highly skilled Data Science Engineer to design and develop scalable Machine Learning (ML) and Generative AI (GenAI) solutions. The ideal candidate will possess 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 ML 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 Databases 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
  • Experience with modern ML and GenAI frameworks

Must-Have Skills

  • 12+ years: Data Science / ML Engineering experience with scalable ML & GenAI solutions
  • 6+ years: Python, model training, and document processing pipelines
  • 6+ years: Vector databases and ML/GenAI frameworks
  • 6+ years: LLM-based applications, document extraction, parsing, chunking, and model fine-tuning
  • 6+ years: Embeddings, vector search, and ML model integration with MongoDB
  • 6+ years: ML algorithms and Generative AI concepts

Preferred Qualifications

  • Healthcare domain experience (Good to have)
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