Home/Jobs/Sr Machine Learning Engineer

Sr Machine Learning Engineer

Amgen

Hyderabad

3-5 years

1 day ago

$25.3K–39.8K/yr

Full time

Onsite

Skills Required LLM

RAG

LangChain

Vector Database

OpenAI SDK

Semantic Kernel prompt-engineering agent frameworks

Kubeflow

SageMaker Pipelines

MLOps feature stores model registries experiment-tracking

REST

Description Seeking a Sr Machine Learning Engineer to lead the design and scaling of end-to-end machine-learning and generative-AI platforms, enabling secure and cost-effective model deployment and monitoring.

Company: Amgen

Role: Sr Machine Learning Engineer

Experience

- 3-5 years in AI/ML and enterprise software

Responsibilities

- Engineer end-to-end ML pipelines including data ingestion, feature engineering, training, hyper-parameter optimization, evaluation, registration and automated promotion
- Harden research code into production-grade micro-services with Docker/Kubernetes and expose secure APIs
- Build and maintain full-stack AI applications integrating model services with UI components and workflow engines
- Optimize performance and cost at scale by selecting algorithms and tuning GPU/CPU auto-scaling policies
- Instrument observability with real-time metrics, distributed tracing, drift and bias detection, and user-behavior analytics
- Embed security and responsible-AI controls including data encryption, access policies, lineage tracking, explainability and bias monitoring
- Contribute reusable platform components such as feature stores, model registries, and experiment-tracking libraries
- Perform exploratory data analysis and feature ideation on complex datasets




- Partner with data scientists to prototype and benchmark algorithms and co-own model-performance KPIs
- Establish platform strategy and define technical standards
- Partner with DevOps, Security, Compliance and Product teams to deliver enterprise-grade AI developer experience

Additional Responsibilities

- Translate complex technical concepts into concise, outcome-oriented narratives
- Model total cost of ownership versus net present value and present trade-offs to executives
- Evangelize best practices to raise engineering velocity across squads

More Skills machine-learning algorithms, regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures, CNNs, RNNs, transformers, RAG techniques, AI SaaS/PaaS, GenAI tooling, prompt-engineering DSLs, Python, Java, Docker, Kubernetes, AWS, Azure, GCP, GitHub Actions, Bedrock

Prepare for this role

Recommended resources to build the skills for this position. Sponsored.

Top 20 LLM System Design Questions (Quick)

Zenaique A focused LLM system design interview question set.

Top 50 LLM System Design Interview Questions

Zenaique

Curated LLM system design questions from Zenaique.

Top 50 LangChain Interview Questions

Zenaique

Curated LangChain interview questions covering chains, agents, and memory.

More LLM jobs

Data & AI Engineer

Durapidtech.com

India

Today

AI Engineer

Zone IT Solutions

Pune

Today

Azure AI / RAG Backend Engineer

Ashra Technologies

Pune

Today

Associate- PEG (AI Solutions Engineer)

Bain & Company

Delhi

Today

Senior Software Engineer - AI Initiative

Rippling

San Francisco

Today

Gen AI Consultant

Infosys

Bengaluru

Today

📌 Sr Machine Learning Engineer (Hyderabad)
🏢 Top Gen AI Jobs
📍 Hyderabad