Sr Associate Data Scientist
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Reach the decision-maker — $5About the role
India \- Hyderabad JOB ID: R\-248506 LOCATION: India \- Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Jul. 03, 2026 CATEGORY: Quality **ABOUT THE ROLE**
The Global Quality Analytics and Innovation team leads the digital transformation and innovation effort throughout Amgen’s Quality organization. We are at the forefront of developing and rolling out data\-centric digital tools, employing automation, artificial intelligence (AI), and generative AI to drive end\-to\-end quality transformation. We are seeking a highly motivated and experienced Data Scientist with a strong background in Generative AI, Large Language Models (LLMs), and MLOps, along with an understanding for Quality in regulated environments (e.g., GxP). This role will play a key part in designing, developing, and deploying scalable AI/ML solutions to drive innovation, efficiency, and regulatory compliance across the organization.
You will collaborate with cross\-functional teams, including software engineers, data engineers, business stakeholders, and quality professionals to deliver AI\-driven capabilities that support strategic business objectives. The ideal candidate is an analytical thinker with excellent technical depth, communication skills, and the ability to thrive in a fast\-paced, agile environment.
**Key Responsibilities**
* Design, build, and deploy generative AI and LLM\-based applications using frameworks such as LangChain, LlamaIndex, and others. * Engineer reusable and effective prompts for LLMs like OpenAI GPT\-4, Anthropic Claude, etc. * Develop and maintain evaluation metrics and frameworks for prompt engineering. * Conduct data quality assessments, data cleansing, and ingestion of unstructured documents into vector databases. * Build retrieval algorithms for relevant data identification to support LLMs and AI applications. * Ensure AI/ML development complies with GxP and other regulatory standards, fostering a strong Quality culture. * Partner with global and local teams to support regulatory inspection readiness and future technological capabilities in AI. * Share insights and findings with team members in an Agile (SAFe) environment.
**Preferred Qualifications**
* Master’s degree and 2–4 years of experience in Software Engineering, Data Science, or ML Engineering * Experience in developing and deploying LLM applications. * Strong foundation in ML algorithms, data science workflows, and NLP. * Expertise in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit\-learn). * Familiarity with MLOps tools (e.g., MLflow, CI/CD, version control). * Experience with cloud platforms (AWS, Azure, GCP) and tools like Spark, Databricks. * Understanding of RESTful APIs and frameworks like FastAPI. * Experience with BI and visualization tools (e.g., Tableau, Streamlit, Dash). * Knowledge of GxP compliance and experience working in regulated environments. * Strong communication skills with the ability to explain complex topics to diverse audiences. * High degree of initiative, self\-motivation, and ability to work in global teams.
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