Implementation Engineer

UptimeAI; India; On-site; INR 700,000 - 900,000; Full time

Job summary

A technology company in India is seeking a highly motivated Implementation Engineer to deliver high-quality, scalable solutions for customer implementations. You will collaborate with Project Managers and Technical Consultants to ensure model accuracy and process efficiency. Ideal candidates have 2+ years of experience deploying analytics solutions and a strong understanding of quality assurance practices. Join us to make a significant impact in the AI-powered solutions space.

Qualifications

• 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.
• Familiar with documenting processes, contributing to repeatable workflows.

Responsibilities

• Support discovery, requirement gathering, and model-building preparation.
• Conduct rigorous validation and quality assurance on all deployed models.
• Identify opportunities to automate repetitive tasks and increase efficiency.

Skills

Deploying analytics solutions

Quality Assurance and Validation

Documenting processes

Understanding AI/ML solutions

Tag Mapping

Job description

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:

• You will understand technical scope and support discovery, requirement gathering, and model-building preparation for efficient development.
• You have experience in reviewing and understanding PIDs, PFDs, and performance and efficiency calculations to perform accurate and comprehensive tag mapping.
• You deploy models into customer environments aligned with their specific needs.
• You conduct rigorous validation and quality assurance on all deployed models.
• You collaborate closely with Project Managers and Technical Consultants to meet project timelines and quality benchmarks.
• You provide structured feedback to the Product team to improve functionality, user experience, and deployment speed.
• You identify opportunities to automate repetitive tasks and increase efficiency across the model-building workflow.
• You 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.

Strong 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
• Quality and accuracy of deployed models
• Timely and successful deployment across multiple implementations
• Process improvement outcomes (Reduction in deployment time)