
Job Description
Ovii's Interpretation of the Role
UptimeAI seeks a Data Scientist who blends agentic AI, full‑stack engineering, and industrial design thinking to turn noisy real‑time plant data into actionable AI experiences. The role sits in the Data Science team and delivers end‑to‑end, production‑grade prototypes that integrate models, APIs, and user interfaces.
Role Snapshot
- Full‑stack AI prototyping
- Agentic workflow design
- Industrial data analysis
- End‑to‑end product delivery
- Collaboration with domain experts
- Rapid development using AI‑integrated IDEs
Must-Have Requirements
- Python
- Polars/Pandas
- Scikit‑learn
- FastAPI
- PostgreSQL/TimescaleDB
- AI‑integrated IDEs (Cursor, Antigravity)
- Design thinking
- Data Science with Software Engineering
- Full‑stack AI prototyping
- Bachelor’s or higher in Chemical Engineering, Mechanical Engineering, Aerospace, Applied Physics (or CS with heavy industry experience)
Nice-to-Have Signals
- Industrial AI experience
- Manufacturing or Energy domain background
- Portfolio of end‑to‑end AI applications
- RAG pipelines
- Data visualization/UI design
- Industrial AI
- Manufacturing/Energy domain
Work Setup
- Location: Bangalore, India
- Work mode: HYBRID
- Remote scope: UNSPECIFIED
- Employment type: Full-Time
Application Requirements
- Portfolio required
Not Specified in JD
- Visa sponsorship
- Salary range
- Remote eligibility
- Relocation
- Notice period
- Travel
- Security clearance
- Coding test
- Cover letter
What You'll Likely Work On
- Convert early‑stage ML models and RAG pipelines into interactive full‑stack prototypes within days
- Architect front‑end interfaces that let plant engineers converse with agentic reasoning agents
- Perform exploratory analysis on SCADA, DCS, and IoT datasets and surface insights in a functional UI
- Partner with operations, reliability, and plant engineering experts to craft context‑aware AI solutions
- Build API‑first, containerized pipelines from PostgreSQL/TimescaleDB through FastAPI to the frontend
- Apply design‑thinking to align AI tools with operational workflows such as maintenance scheduling
Good Fit If You Have
- Enjoys rapid prototyping from model to user‑facing product
- Comfortable handling noisy, real‑time industrial data
- Has a portfolio of end‑to‑end AI applications
- Thrives in cross‑functional collaboration with engineers and plant operators
- Possesses a hacker mindset for fast, elegant solutions
Skills
- Python (Polars/Pandas, Scikit‑learn)
- FastAPI
- PostgreSQL / TimescaleDB
- AI‑integrated IDEs (Cursor, Antigravity)
- RAG pipelines
- Data visualization & UI design
- Industrial domain knowledge (SCADA, DCS, IoT)
- Design thinking