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 (On Site)

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 fields

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

Senior Machine Learning Engineer

Skills Required

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Experience:

Qualification:

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Nice to have:

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