Data Scientist - Full-Stack Engineering
About UptimeAI:
UptimeAI provides AI reasoning agents that help industrial operations teams make goal-oriented, real-time decisions.
Industrial facilities are rich in data but constrained by the expertise required to maintain and interpret it. As experienced engineers retire and operational complexity grows, organizations struggle to scale the expert judgment needed to maintain reliability, safety, and performance.
UptimeAI addresses this challenge by embedding engineering reasoning directly into AI agents that continuously analyze operational data, diagnose issues, and guide teams toward the best actions. The result is faster decisions, reduced downtime, improved efficiency, and stronger operational performance.
Role: Data Scientist - Full-Stack Engineering
Location: Bangalore- Karnataka (Hybrid)
Experience: 3+ years
Department: Data Science
Role Overview
We are looking for a unique breed of Data Scientist who thrives at the intersection of Agentic AI, Full-Stack Engineering, and Industrial Design Thinking.



Sitting within the Data Science team, you will be the bridge between algorithmic research and tangible product impact. You aren't just building models in a vacuum; you are leveraging up-to-date AI-native development tools (Claude Code, Cursor, Antigravity) to rapidly build integrated, production-grade prototypes that translate complex industrial data into intuitive, actionable AI experiences.
This role requires someone who can:
Build and deploy production-grade AI systems, not just prototypes
Design agentic workflows that can reason, adapt, and take actions in dynamic environments
Work with noisy, incomplete, and real-time industrial data to derive meaningful insights
Collaborate closely with domain experts (e.g., operations, reliability, or plant engineers) to create context-aware AI solutions
Demonstrate innovative thinking in solving ambiguous problems where standard approaches may not apply
Key Responsibilities
Rapid DS Pr

📌 Data Scientist (India)
🏢 UptimeAI
📍 India