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, Monday.com, 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.