About the Company: 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.About the Role: We are seeking a highly skilled and hands-on Project Manager, 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.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:- 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. - PMP or equivalent certification is a plus but not required.Required Skills:- 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.Preferred Skills:- 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.Pay range and compensation package: Not specified.Equal Opportunity Statement: UptimeAI is committed to diversity and inclusivity in the workplace.
Job Title
Implementation Engineer