Implementation Engineer

Implementation Engineer

About this role:

UptimeAI is looking for a highly motivated and detail-oriented Implementation Engineer to join our growing team in India. This role is critical to the success of our customer implementations and is focused on the core technical responsibility of model building and product delivery during the implementation process.

You will work closely with Project Managers and Technical Consultants to deliver high-quality, scalable solutions that help our industrial clients achieve measurable value from our AI-powered platform.

Who You Are:

• 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.

• Develop and share domain knowledge and implement best practices to continuously raise the quality bar.

Qualifications:

Must Have:

• Hands-on Experience: 2+ years of hands-on Experience deploying analytics solutions, ML, or rule-based models.

• Quality Assurance and Validation Skills: 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.

Stong Plus:

• Experience in Industrial AI/ML Solutions: Previous implementation of work in AI/ML platforms in manufacturing, oil & gas, or chemical environments.

• Understanding Reliability Engineering Concepts: Exposure to RCM, FMEA, condition monitoring, or predictive maintenance.

• Experience with Tag Mapping and Data Integration: Proficiency in reviewing and mapping sensor tags from control systems like DCS/SCADA/Historians to platform inputs.

Success Metrics:

• Quality and accuracy of deployed models

• Timely and successful deployment across multiple implementations

• Process improvement Outcomes (Reduction in deployment time)

The Implementation Engineer prepares, builds, deploys, and validates models for customer implementations of UptimeAI’s platform. The role coordinates with project and technical teams, supports industrial customer deployments, and helps improve model-building workflows and product delivery.

Role at a glance

Skills mentioned

What you will likely work on

• Clarify technical scope and support discovery, requirements gathering, and model-building preparation.
• Review P&IDs, PFDs, and performance calculations to map customer tags accurately.
• Build and deploy models in customer environments to fit implementation needs.
• Define and perform validation and QA checks on model accuracy and output reliability.
• Coordinate with project managers and technical consultants to meet delivery timelines and quality targets.
• Share structured product feedback to improve functionality, usability, and deployment speed.
• Identify workflow tasks for automation and help establish repeatable implementation practices.

Good fit signals

• Has at least two years of hands-on experience deploying analytics, machine-learning, or rule-based models.
• Can define and carry out checks that establish model accuracy and output reliability.
• Works systematically with documented processes, checklists, and repeatable workflows.
• Industrial AI/ML implementation experience in manufacturing, oil and gas, or chemical settings is a strong plus.
• Exposure to reliability methods or experience mapping control-system sensor tags can be useful.