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Amgen Logo Amgen · IT - Software Development

Ai/Ml Innovation Engineer

India, Hyderabad · Job Posted July 04, 2026
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Job Description

As an AI/ML Innovation Associate, you will help build next-generation AI-powered platforms that transform how commercial, contracting, and patient access strategies are designed and executed across the US Value & Access organization. Our AI portfolio includes AI copilots, intelligent contract systems, anomaly detection engines, and real-time decision platforms that directly impact how Amgen serves patients and partners. In this role, you will work on production-grade AI systems, contributing to the development of scalable, intelligent solutions that integrate structured and unstructured data, power decision-making, and deliver measurable business impact. You will collaborate with senior data scientists, engineers, and business partners to bring cutting-edge GenAI, LLM, and ML solutions from prototype to production.

Job Responsibility

  • Build LLM-powered assistants, implement prompt engineering, Retrieval-Augmented Generation (RAG) pipelines, and agentic workflows and related applications
  • Extract, classify, and query insights from unstructured documents (contracts, policies, SOPs)
  • build NLP pipelines for semantic search and summarization
  • Work on data ingestion, transformation, and feature engineering pipelines
  • contribute to scalable AI/ML infrastructure
  • Build APIs, dashboards, and backend services that power AI-driven insights for end users
  • Develop anomaly detection models (e.g., claims, pricing, Gross-to-Net)
  • build forecasting and optimization models to support commercial decisions
  • Collaborate with cross-functional technical teams to translate business needs into technical specifications, focusing on AI-driven automation and insights
  • Participate in code reviews, design discussions, and adopt best practices across MLOps and software engineering

Requirements

  • Strong programming skills in Python, PySpark, and SQL
  • Solid understanding of Data Structures & Algorithms, OOP, and System Design fundamentals
  • Hands-on experience with core Machine Learning techniques (Regression, Classification, Clustering)
  • Working knowledge of NLP fundamentals (tokenization, embeddings, transformers)
  • Exposure to LLMs (OpenAI, HuggingFace, Anthropic, etc.) and prompt engineering / GenAI workflows
  • Experience with data manipulation libraries (Pandas, NumPy) and working with both structured and unstructured data
  • Familiarity with REST APIs and backend development basics
  • Mandatory hands-on experience with 2–3 real AI/ML projects
  • AI/GenAI: LLM-based chatbot with RAG (document Q&A), AI summarization tools, or agent-based multi-step reasoning systems
  • Engineering: Deployed ML models (API or web app), data pipelines (ETL/ELT)
  • Bachelor's or master’s degree in computer science, Artificial Intelligence, Data Science, Statistics, Engineering, or other STEM majors
  • 1–3 years of hands-on experience in AI/ML, data science, or software engineering roles
  • Demonstrated portfolio of AI/ML projects (GitHub, publications, or production deployments)

Nice to have

  • Experience with RAG pipelines and vector databases (FAISS, Pinecone, Chroma, Weaviate)
  • Hands-on experience with LangChain, LlamaIndex, or agent frameworks (AutoGen, CrewAI)
  • Exposure to MLOps tools (Docker, CI/CD, MLflow, Kubeflow, Airflow)
  • Knowledge of time-series forecasting and anomaly detection techniques
  • Frontend basics (Streamlit, React) for building dashboards and demos
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
  • Experience with Databricks for data analytics and ML workflows
  • Foundational understanding of the US pharmaceutical ecosystem, relevant datasets (e.g., claims, prescription data), and Patient Support Services offerings
  • Any AWS / Azure / GCP certification (preferred)
  • Any Python, Machine Learning, or GenAI certification (preferred)
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