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    Home/Jobs/Senior Machine Learning Engineer

    Senior Machine Learning Engineer

    Amgen

    Hyderabad / Mumbai
    4+ years
    Today
    ₹12–22 LPA
    Full-time
    Onsite

    Skills Required

    Python
    MLOps
    MLflow
    Docker
    Kubernetes
    REST/gRPC APIs
    AWS
    Databricks
    Apache Spark
    PyTorch
    TensorFlow
    Scikit-learn

    Description

    Amgen's AI & Data for Engineered Biologics team is seeking a Software/ML Engineer to help bring predictive models and ML-enabled tools into production for biologics discovery.

    Company: Amgen

    Role: Senior Machine Learning Engineer

    Location: India - Hyderabad

    Experience:

    • 4+ years in Data Science, Computer Science, Computational Biology, Bioinformatics, Computational Chemistry, or a related field (with Doctorate degree)
    • 8+ years of directly related experience (with Master's degree)

    Qualification:

    • Doctorate degree in Data Science, Computer Science, Computational Biology, Bioinformatics, Computational Chemistry, or a related field
    • Master's degree in related field

    Role Focus:

    • Design, build, and deploy production-grade ML services, APIs, and applications
    • Package, containerize, and serve models for batch and real-time inference
    • Productionize research models by improving reliability, scalability, testing, and maintainability
    • Establish MLOps practices for experiment tracking, model/version management, validation, deployment, and rollback
    • Implement CI/CD pipelines and software engineering best practices
    • Monitor model performance, data quality, data/model drift, service health, usage and troubleshoot issues
    • Build and maintain reproducible workflows for data preparation, model training, inference, and evaluation
    • Evaluate and implement emerging MLOps, model observability, and ML platform technologies
    • Communicate technical designs, trade-offs, metrics, and recommendations to technical and scientific partners

    Nice to have:

    • Experience building and supporting production ML systems, model-serving platforms, APIs, or data-driven applications
    • Experience with model observability, logging, alerting, drift detection, and production troubleshooting
    • Familiarity with machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or related libraries
    • Ability to work effectively with scientists, ML researchers, data engineers, platform teams, and software engineers
    • Strong ownership, problem-solving, and communication skills, with demonstrated contributions to production ML systems, open-source MLOps tools, or publications in venues such as MLSys, NeurIPS, ICML, ICLR, or comparable venues

    Other:

    • On Site work location
    • Job ID: R-248176
    • Date Posted: Jul. 06, 2026

    Prepare for this role

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