Job Title: Analyst - Data Engineer
Grade : C3
Shift: 2 pm to 11 pm IST
Role: Individual contributor role.
Location: Manyata Tech Park, Bangalore.
Introduction to role:
Are you ready to dive into the world of commercial analytics and make a real impact? Data Engineer or MLOps & AI Engineer is an incredible chance within the Data Science & Advanced Analytics team to support the transformation of AI/ML for Alexion’s Rare Disease Unit by crafting, developing, and fielding data science solutions that drive impact for patients. This role works between traditional ML engineering and autonomous AI. It involves crafting, deploying, and managing classical machine learning systems and AI workflows that improve commercial efficiency across the US rare disease portfolio.
The primary focus will be collaborating with data scientists, and insights & analytics to build production-grade analytics infrastructure on Snowflake and Cortex AI — from predictive patient identification models and field force alert engines to agentic workflows that autonomously surface insights and recommend actions.



This position ensures that ML models and AI agent systems are reproducible, compliant, performant, and scalable throughout their lifecycle. A strong focus is placed on data quality, monitoring, governance, and agent-executable system design. .
Accountabilities:
ML & Data Engineering
Model Lifecycle Management: Develop and maintain pipelines to transition models from experimentation to production, including packaging, CI/CD, automated testing, and deployment. Support model serving for patient identification, adherence prediction, Next-Best-Action engines, and competitive intelligence models on Snowflake and Cortex AI.
Data Pipeline Development: Design robust batch and streaming data workflows integrating specialty pharmacy, hub/PSP, CRM (Veeva), syndicated (IQVIA, MMIT), claims, and Model N data within Snowflake. Define and manage feature sets, lineage, and reuse to support AI/ML initiatives

📌 Analyst - Data Engineer (Bengaluru)
🏢 AstraZeneca
📍 Bengaluru