Amgen seeks a Senior Machine Learning Engineer to design and scale end-to-end ML and generative AI platforms. The role involves building enterprise-grade infrastructure, MLOps services, and governance controls that enable data scientists and practitioners to develop, deploy, and monitor models securely at scale.
Responsibilities
Engineer end-to-end ML pipelines with data ingestion, feature engineering, training, evaluation, and automated model promotion
Harden research code into production-grade microservices using Docker/Kubernetes with REST, gRPC, or event-driven APIs
Optimize model performance and cost at scale through algorithm selection, quantization, pruning, and auto-scaling tuning
Instrument comprehensive observability including real-time metrics, distributed tracing, drift detection, and bias monitoring
Embed security and responsible-AI controls including data encryption, access policies, lineage tracking, and explainability mechanisms
Requirements
3–5 years of experience in AI/ML and enterprise software engineering
Deep expertise in ML algorithms: regression, tree ensembles, deep learning, transformers, LLMs, and RAG techniques
Proficiency in Python and Java; Docker/Kubernetes; AWS, Azure, or GCP cloud platforms
... evaluations, improving model performance, and building reliable training and inference workflows. Role Overview Develop, implement, review, and validate complex machine learning engineering solutions. The role requires strong Python skills, practical machine learning experience, and hands-on use of coding agents in development ...
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Job Description :Role & Responsibilities :ML & AI System Design and Development :- Design and implement machine learning solutions using a mix of classical ML models and LLM-based approaches.- Select appropriate techniques for each problem, balancing accuracy, performance, cost, and operational complexity.- Build and train ...
Amgen seeks a Senior Machine Learning Engineer to develop scalable ML platforms and workflows supporting drug discovery and development. This role involves productionizing AI/ML solutions, implementing MLOps best practices, and collaborating with scientists and engineers across the organization in Hyderabad, India. Responsibilities ...
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