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    Home/Jobs/Machine Learning Engineer

    Machine Learning Engineer

    Revelation Pharma Corp LLC

    Pensacola
    6+ years
    Today
    ₹23–44 LPA
    Full-time
    Remote

    Skills Required

    LLM
    RAG
    Gen AI
    Machine Learning
    Deep Learning
    NLP
    AWS
    Amazon Forecast
    SageMaker
    Bedrock
    S3 Vectors
    MLflow
    SageMaker Model Registry
    MLOps
    Model Evaluation

    Description

    The Machine Learning Engineer designs, trains, validates, and monitors ML models for clinical decision support, patient risk stratification, and adherence prediction. This role requires expertise in applied ML, NLP, and AWS ML services. The ideal candidate will have experience building explainable models in regulated contexts and collaborating with clinical domain experts.

    Company: Revelation Pharma Corp LLC

    Role: Machine Learning Engineer

    Location: Pensacola, FL, US

    Experience:

    • 6+ years in ML engineering or applied data science
    • At least 3 years shipping ML models to production in a healthcare, biotech, or clinical domain
    • Direct experience building clinical decision support, risk stratification, or patient outcome prediction models
    • Production experience with LLM-based agent systems

    Key Skills:

    • Applied ML / Statistical Modeling
    • NLP & LLM Engineering
    • AWS ML Services
    • Feature Engineering & Data Pipelines
    • Model Evaluation & Safety
    • MLOps & Production ML

    Qualification:

    • Advanced degree (MS or PhD) in machine learning, computational biology, biomedical informatics, statistics, or a related quantitative field

    Role Focus:

    • Build evaluation and validation frameworks for agent-driven clinical recommendations
    • Develop patient risk stratification models
    • Implement and manage predictive analytics pipelines on AWS
    • Design and build RAG architecture
    • Own model lifecycle management
    • Build explainability layers
    • Establish model monitoring and alerting

    Additional responsibilities:

    • Collaborate with clinical teams to translate clinical protocols into model features
    • Work with DevOps/AgentOps to ensure ML decisions are logged and reproducible

    Nice to have:

    • Experience with GLP-1 / obesity medicine clinical workflows
    • Familiarity with FDA Software as a Medical Device (SaMD) guidance
    • Experience with Comprehend Medical
    • Prior work with SMART on FHIR or CDS Hooks
    • Publications or patents in healthcare ML

    Other:

    • Health care insurance (medical, dental, vision)
    • Life Insurance
    • Supplemental Insurance
    • PTO
    • 401K matching
    • Sick leave
    • Phone/internet reimbursement
    • Remote work
    • Top of the line machines

    Prepare for this role

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    Generative AI with Large Language Models

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    Deep Learning Specialization

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    Five-course deep learning series covering CNNs, RNNs, transformers, and ML strategy.

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    Andrew Ng's updated ML course — regression, classification, neural networks, and decision trees.

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