Senior Implementation Engineer

About UptimeAI:

UptimeAI is leading the way in predictive analytics and AI-driven solutions to optimize operational uptime and reduce downtime for industrial and enterprise clients. Our innovative platform harnesses cutting-edge data science to deliver actionable insights, ensuring maximum efficiency and reliability. UptimeAI uniquely combines Artificial Intelligence with Subject Matter Knowledge from 200+ years of cumulative experience to explain interrelations across upstream/downstream equipment, adapt to changes, identify problems, and give prescriptive diagnosis like a human expert would.

Recently receiving a funding round led by WestBridge Capital, UptimeAI is prime for global expansion

Role : Senior / Lead Implementation Engineer

Location: Bangalore, India (Hybrid)

Experience: 6+ years

Department: Implementation

Role Overview

We are seeking a highly skilled and hands-on Implementation, you will lead the end-to-end execution of customer implementation projects, working side by side with our Technical Consultants and offshore teams. You’ll own timelines, scope, communications, and coordination across global stakeholders to ensure our customers go live successfully—on time and with measurable value. You will be the operational glue that connects internal and external teams, drives accountability, and ensures project milestones are met. Your job is to keep everyone aligned, risks managed, and our customers confident throughout the journey

Key Responsibilities

· Understand technical scope and Support discovery, requirement gathering, and model-building preparation for efficient development.

· Experience in reviewing and understanding P&IDs, PFDs, and performance & efficiency calculations to perform accurate and comprehensive tag mapping

· Deploy models into customer environments aligned with their specific needs.• Conduct rigorous validation and quality assurance on all deployed models.

· Collaborate closely with Project Managers and Technical Consultants to meet project timelines and quality benchmarks.

· Provide structured feedback to the Product team to improve functionality, user experience, and deployment speed.

· Identify opportunities to automate repetitive tasks and increase efficiency across the model-building workflow

Qualifications

· Bachelor's degree in Computer Science/Engineering in Mechanical, Chemical, Instrumentation, or Industrial Engineering.

· Experience with OT systems (e.g., DCS, historians), process data, and industrial environments

· Experience with Power Plant Operations, Thermal Power / Combined Cycle / Steam Turbine / Gas Turbine / Boiler Turbine Generator (BTG) / Balance of Plant (BOP) / Asset Performance Management (APM) / DCS / SCADA / Historian / Industrial Analytics / Digital Transformation

· 2+ years of hands-on Experience deploying analytics solutions, ML, or rule-based models

· Ability to define and execute validation steps to ensure model accuracy and output

· Reliability

· Ability to Work in a Structured, Scalable Way: Familiar with documenting processes, following checklists, and contributing to repeatable workflows

· Experience working in global environments and coordinating with cross-functional and offshore teams.

· Proven ability to manage multiple complex projects simultaneously with strong attention to detail.

· Excellent communication, organizational, and stakeholder management skills.

· Comfort with ambiguity and proactive problem-solving mindset.

· Familiarity with project management tools (e.g., ClickUp, , Asana, Smartsheet).

· Background in industrial, manufacturing, or process optimization environments is a plus.

Why to join UptimeAI:

· Impact Industry-Wide Change: Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients.

· Collaborative and Growth-Oriented Environment: Join a talented, passionate team that values innovation, continuous learning, and professional growth.

· Opportunities for Leadership and Innovation: Lead pioneering projects, influence product development, and shape the future of industrial AI solutions.