Home/Jobs/Sr Machine Learning Engineer Sr Machine Learning Engineer Amgen Hyderabad 3-5 years Today $26.5K–41.0K/yr Full-time Onsite Skills Required LLM RAG Gen AI OpenAI SDK LangChain Vector Database Transformers Machine Learning MLOps Kubeflow SageMaker Pipelines Docker Kubernetes REST gRPC Description Sr Machine Learning Engineer role focused on building and scaling end-to-end machine-learning and generative-AI platforms. The position combines platform engineering, MLOps, governance, and data-science enablement in an enterprise environment.

Company: Amgen Role: Sr Machine Learning Engineer Location: India - Hyderabad | On Site Experience 3-5 years in AI/ML and enterprise software Responsibilities Design core services, infrastructure and governance controls for ML and GenAI platforms

Engineer end-to-end ML pipelines from data ingestion through automated promotion

Harden research code into production-grade micro-services

Package models in Docker/Kubernetes and expose secure APIs

Build and maintain full-stack AI applications with UI components, workflow engines or business-logic layers

Optimize performance and cost at scale to meet strict SLA targets

Instrument observability for live models and applications

Embed security and responsible-AI controls with partner teams

Contribute reusable platform components and evangelize best practices

Perform exploratory data analysis and feature ideation

Partner with data scientists to prototype and benchmark new algorithms

Co-own model-performance KPIs Additional Responsibilities Act as a player-coach

Establish platform strategy

Define technical standards

Partner with DevOps, Security, Compliance and Product teams

Support hundreds of practitioners in prototyping, deploying and monitoring models

Enable secure and cost-effective AI developer experience More Skills Open AI SDK, REST APIs, Event-driven APIs, Feature stores, Model registries,



Experiment-tracking libraries, Gradient-boosted trees, Time-series models, Classical statistics, Quantization, Pruning, GPU auto-scaling, CPU auto-scaling, Metrics, Distributed tracing, Drift detection, Bias detection, User-behavior analytics, Data encryption, Access policies, Lineage tracking, Explainability, Bias monitoring, Python, Java, AWS, Azure, GCP, GitHub Actions, Bedrock, SageMaker, Prompt-engineering DSLs, Semantic Kernel, CNNs, RNNs, Deep learning Other Most senior individual-contributor authority for ML and GenAI platform engineering

Enterprise-grade AI developer experience

Classical ML, deep learning and LLMs are in scope

Focus on secure, scalable and cost-effective delivery

Need strong business-case skills to model TCO vs. NPV and present trade-offs to executives

Need exceptional stakeholder management and transparent communication

Ability to translate complex technical concepts into concise, outcome-oriented narratives Follow for Daily AI Tutorials Prepare for this role Recommended resources to build the skills for this position. Sponsored. Generative AI with Large Language Models Coursera Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment. Functions, Tools and Agents with LangChain Coursera Advanced LangChain covering function calling, tool use, and conversational agents.

Deep Learning Specialization Coursera

Five-course deep learning series covering CNNs, RNNs, transformers, and ML strategy. More LLM jobs Senior Analyst, AI Engineer Cardinal Health United States Today Software Engineer II, AI Enablement (Remote) Symetra USA Today Junior Software Engineer (AI-Forward) Texas Sports Academy Austin Today LLM Engineer (Large Language Models) Fospe Software Private Limited Bengaluru Today Software Engineer - AI Agentic Product Dev Team (US) Eightfold Santa Clara Today Full Stack Developer- Generative AI Recruitment Hub 365 Pune Today

📌 Sr Machine Learning Engineer (Hyderabad)
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