Sr Machine Learning Engineer
Amgen · Hyderabad, India
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Role summary
Amgen seeks a senior machine learning engineer in Hyderabad to design and scale end-to-end ML and generative AI platforms. The role involves building production-grade pipelines, microservices and full-stack applications while embedding security, observability and responsible AI controls across enterprise infrastructure. Requires 3–5 years in AI/ML, expertise across classical and deep learning, proficiency in Python and Java, and cloud/MLOps technologies.
What they're looking for
- 3-5 years of AI/ML and enterprise software experience
- Deep knowledge of ML algorithms: regression, tree-based ensembles, clustering, dimensionality reduction, time-series, and deep learning architectures
- Expertise in GenAI tooling: vector databases, RAG pipelines, prompt engineering DSLs, and agent frameworks
- Proficiency in Python and Java; Docker/Kubernetes; AWS, Azure, or GCP; MLOps tools like GitHub Actions and SageMaker Pipelines
- Demonstrated ability selecting and integrating AI SaaS/PaaS offerings and scaling custom ML services
- Strong business acumen: TCO/NPV modeling and executive communication of technical trade-offs
- Exceptional stakeholder management and ability to translate technical concepts for non-technical audiences
What you'll be doing
- Engineer end-to-end ML pipelines using Kubeflow, SageMaker Pipelines, or equivalent MLOps stacks for data ingestion through model promotion
- Convert research code into production-grade microservices packaged in Docker/Kubernetes with secure REST, gRPC, or event-driven APIs
- Build full-stack AI applications integrating model services with UI components, workflow engines, and business logic for sub-second latency delivery
- Optimize model performance and cost through algorithm selection, quantization/pruning, and GPU/CPU auto-scaling tuning to meet SLAs
- Implement comprehensive observability including real-time metrics, distributed tracing, drift detection, and bias monitoring for live models
Privacy & handoff
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