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Senior ML/AI Engineer

FreelanceJobs
CAPosted March 1, 2026

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Job Description

Senior ML/AI Engineer – Healthcare

About the Role

We are seeking a seasoned Senior ML/AI Engineer to join our team and lead the development of cutting-edge AI solutions for the healthcare sector.

You will play a pivotal role in integrating advanced machine learning (ML) capabilities, particularly natural language processing (NLP), into our existing systems to help transform clinical workflows and improve outcomes.

Ideal candidates will have a blend of technical expertise and healthcare experience, with a passion for developing robust, production-ready solutions.

Mission

Your mission will include implementing essential ML components such as NLP-based extraction, similarity retrieval, comprehensive model evaluation, and designing feedback loops with human-in-the-loop mechanisms.

Key Responsibilities

  • Build and maintain an entity extraction pipeline to convert historical clinical notes into structured, actionable entities.
  • Develop retrieval and similar-case matching systems leveraging historical patient data.
  • Integrate large language model (LLM) reasoning with grounded knowledge bases, using Retrieval-Augmented Generation (RAG) techniques and robust citation frameworks.
  • Work with Medical Coding SME to validate training data labels and model outputs.
  • Design and implement evaluation harnesses, including accuracy metrics, detailed error taxonomies, and monitoring for model drift.
  • Collaborate closely with other Subject Matter Experts (SMEs) to refine mapping rules and reduce claim rejections through targeted ML solutions.
  • Ensure ML training complies with PHIPA.

Must-Have Qualifications

  • Minimum 4 years of hands-on ML engineering experience, including at least 2 years focused on NLP applications.
  • Proficiency with LLM integration patterns, embeddings, and Retrieval-Augmented Generation (RAG) workflows.
  • Experience in building evaluation datasets and designing meaningful metrics for model assessment.
  • Strong command of Python, ML tooling, and best practices for deploying production-ready ML solutions.

Nice-to-Have

  • Familiarity with clinical terminologies and healthcare standards.
  • Experience with managed LLM stacks such as Amazon Bedrock or similar platforms.

Why Join Us?

You'll work in a collaborative, mission-driven environment where innovation is encouraged and your impact is tangible.

We offer competitive compensation, remote work flexibility, and opportunities for professional growth in the rapidly evolving field of healthcare AI.

Apply today to help shape the future of clinical decision-making and healthcare automation.

Contract duration of 1 to 3 months. with 40 hours per week.

Mandatory skills:

Machine Learning, Artificial Intelligence, Data Science, Python, Deep Learning, Natural Language Processing, Data Analysis, Amazon Bedrock, React, Amazon SageMaker, Retrieval Augmented Generation, Swift, JavaScript

Optional skills:

CAD

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