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    Home/Jobs/Experienced Data Science AI Engineer

    Experienced Data Science AI Engineer

    Gainwell Technologies

    United States
    5+ years
    Today
    ₹12–17 LPA
    Full-time
    Remote

    Skills Required

    LangChain
    Gen AI
    GPT
    Gemini
    Claude
    Python
    TensorFlow
    PyTorch
    Crew.ai
    AWS
    Azure
    GCP
    MLOps
    Apache Spark
    Hadoop

    Description

    Gainwell Technologies is seeking a highly skilled AI Engineer to design, develop, and deploy advanced AI solutions, including Generative AI (GenAI), across our healthcare technology platforms.

    Company: Gainwell Technologies

    Role: Experienced Data Science AI Engineer

    Location: Any city, TX, US, 99999 (Virtual, Exception only)

    Experience:

    • 5+ years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions
    • Hands-on expertise in production operations involving machine learning, deep learning and GenAI
    • Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization, and inference efficiency

    Key Skills:

    • Python
    • AI Agent Frameworks (Langchain, Crew.ai)
    • TensorFlow
    • PyTorch
    • AWS
    • Azure
    • GCP
    • MLOps
    • Spark
    • Hadoop
    • SQL
    • NoSQL databases

    Qualification:

    • Master’s or Ph.D in Computer Science, AI, Data Science, or a related field

    Role Focus:

    • AI Model Development – Design and build AI Solutions that use machine learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications
    • End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premise environments, ensuring reliability, scalability, and real-world impact
    • Data Engineering & Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards
    • System Integration – Implement and optimize AI solutions within Gainwell’s existing technology stack, collaborating with engineering teams to ensure seamless integration
    • Performance Optimization – Continuously monitor, refine, and optimize AI solutions for accuracy, efficiency, and speed, leveraging MLOps best practices
    • AI Research & Innovation – Stay updated with the latest AI/ML advancements, exploring new technologies and methodologies to enhance solution effectiveness
    • Compliance & Security – Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards
    • Automation & Workflow Enhancement – Identify opportunities to automate workflows and optimize business processes using AI-driven solutions

    Nice to have:

    • Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS)

    Other:

    • Fully Remote Opportunity – Work from anywhere in the U.S.
    • Minimal Travel Required – Occasional travel opportunities (0-10%).
    • Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.
    • The pay range for this position is $117,800.00 - $168,300.00 per year.
    • Generous, flexible vacation policy
    • 401(k) employer match
    • Comprehensive health benefits
    • Educational assistance
    • Video cameras must be used during all interviews, as well as during the initial week of orientation
    • The Deadline to submit applications for this posting is June 24, 2026

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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