UptimeAI Technologies Private Limited logo

Data Scientist -Full-Stack Engineering

Job Overview

Location

Bangalore (India)

Job Type

Full-time

Category

Data Science

Date Posted

April 26, 2026

Full Job Description

đź“‹ Description

  • • The Data Scientist - Full-Stack Engineering role at UptimeAI Technologies Private Limited is critical to building intelligent, end-to-end systems that transform industrial asset performance data into actionable insights, directly enabling predictive maintenance and operational efficiency for global clients.
  • • Day to day, the individual will design, develop, and deploy machine learning models for time-series anomaly detection and root cause analysis, while also building full-stack components including APIs, data pipelines, and lightweight web interfaces to integrate models into production systems used by engineers and operators.
  • • The team at UptimeAI is a fast-growing, innovation-driven group of engineers and data scientists focused on applying AI to solve complex industrial challenges, operating with a startup mindset but backed by enterprise-grade scale and global deployments.
  • • In this role, the person will gain deep expertise in industrial IoT data, end-to-end ML lifecycle management, and full-stack implementation—learning how to bridge advanced analytics with real-world engineering systems to deliver measurable impact on asset reliability and uptime.

Skills & Technologies

Full Stack
Onsite

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UptimeAI Technologies Private Limited logo
UptimeAI Technologies Private Limited
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About UptimeAI Technologies Private Limited

UptimeAI builds industrial AI software that continuously monitors rotating and fixed equipment to detect faults, predict failures, and prescribe optimal maintenance actions for power plants, refineries, and petrochemical facilities. Its cloud platform ingests sensor data from turbines, compressors, pumps, and heat exchangers, applies machine-learning models trained on decades of engineering expertise, and delivers real-time health scores and diagnostics through web dashboards and mobile apps to reduce unplanned outages and extend asset life.

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