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    Home/Jobs/Senior Full Stack Machine Learning Engineer

    Senior Full Stack Machine Learning Engineer

    Inovalon

    Gurugram
    5+ years
    Today
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    Gen AI
    Prompt Engineering
    Vector Database
    RAG
    transfer learning
    Python
    TensorFlow
    PyTorch
    Scikit-learn
    AWS
    GCP
    Azure
    Docker
    Kubernetes

    Description

    Inovalon is a healthcare technology company focused on AI and machine learning solutions to improve health outcomes and streamline healthcare processes. The Senior Full Stack Machine Learning Engineer will design, develop, and deploy machine learning models to drive healthcare solutions.

    Company: Inovalon

    Role: Senior Full Stack Machine Learning Engineer

    Location: Gurugram, India

    Experience:

    • Minimum of 5 years of experience in machine learning
    • Proven track record of deploying models in production environments

    Key Skills:

    • Python
    • TensorFlow
    • PyTorch
    • scikit-learn
    • Generative AI technologies
    • LLMs
    • Prompt engineering
    • Vector Databases
    • RAG architectures
    • Transfer learning
    • AWS
    • GCP
    • Azure
    • Docker
    • Kubernetes
    • Data structures
    • Algorithms
    • Hadoop
    • Spark
    • Airflow
    • Kafka
    • React
    • Node.js
    • Django
    • Healthcare data standards
    • HL7
    • FHIR
    • HIPAA

    Qualification:

    • Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field
    • Master’s degree in Computer Science, Engineering, Mathematics, or related field
    • Ph.D. is a plus

    Role Focus:

    • Design, implement, and optimize machine learning models for healthcare applications
    • Develop and maintain full lifecycle of machine learning solutions including data preprocessing, model training, deployment, and monitoring
    • Collaborate with data engineers to build and maintain data pipelines
    • Write clean, efficient, and maintainable code for machine learning applications
    • Continuously monitor and improve performance of machine learning models and systems
    • Work closely with cross-functional teams to translate business requirements into technical solutions
    • Provide guidance and mentorship to junior engineers

    Additional responsibilities:

    • Ensure seamless integration of machine learning applications with existing systems

    Nice to have:

    • Experience with generative AI technologies including LLMs, prompt engineering, Vector Databases, RAG architectures, and transfer learning
    • Ph.D. degree
    • Understanding of healthcare data standards and regulations such as HL7, FHIR, and HIPAA

    Other:

    • Some travel may be required
    • Competitive salary and benefits package
    • Opportunity to work on impactful projects improving healthcare outcomes
    • Collaborative and innovative work environment
    • Professional development and growth opportunities
    • Flexible work arrangements including hybrid and remote options

    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.

    Generative AI with Large Language Models

    Coursera

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

    Python 3 Programming Specialization

    Coursera

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

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