Sr Machine Learning Engineer
Amgen (company site, opens in a new tab)13+ yrsHyderabadOn-siteDirect career pageEst. 35–60 LPA
Posted 11h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and deliver end-to-end machine learning and generative AI platforms enabling hundreds of practitioners to prototype, deploy, and monitor models securely and cost-effectively.
- Engineer production-grade ML micro-services and full-stack AI applications with performance and cost optimization at scale, including observability and AI governance controls.
- Establish platform strategy and technical standards while collaborating with DevOps, Security, Compliance, and Product teams to ensure enterprise-grade AI developer experience.
Minimum Requirements
- 3-5 years of professional experience in AI/ML and enterprise software.
- Proficiency with machine learning algorithms, generative AI tools (vector databases, RAG pipelines, LangChain, Semantic Kernel), and ML deployment technologies (Python, Java, Docker/K8s, AWS/Azure/GCP, MLOps frameworks).
- Bachelor’s degree in Computer Science, IT, or related field with 8 to 13+ years experience, or Master’s degree equivalent.
- Work Experience Required: 3-5 years in AI/ML and enterprise software.
Ideal Candidate Profile
- Experienced individual contributor skilled in both engineering and data science enablement who can serve as a technical authority and player-coach for AI platform development.
- Strong strategic and business acumen to model costs (TCO, NPV) and present complex trade-offs to executive stakeholders.
- Demonstrated ability to partner cross-functionally with DevOps, Security, Compliance, and Product teams to operationalize scalable, secure AI/ML solutions at enterprise scale.