5 months ago
Bengaluru, IndiaSenior
Responsibilities
- Support technical discovery, requirements gathering, and model-building preparation.
- Review P&IDs, PFDs, and performance and efficiency calculations to perform tag mapping.
- Deploy analytics models into customer environments according to their needs.
- Validate deployed models and ensure model accuracy and output quality.
- Coordinate with Project Managers, Technical Consultants, offshore teams, customers, and other global stakeholders to meet timelines and quality benchmarks.
- Provide structured feedback to the Product team on functionality, user experience, and deployment speed.
- Identify opportunities to automate repetitive tasks and improve model-building workflows.
- Manage project scope, timelines, communications, risks, milestones, and stakeholder accountability across multiple complex projects.
Requirements
- Bachelor’s degree in Computer Science or Engineering in Mechanical, Chemical, Instrumentation, or Industrial Engineering.
- At least 6 years of experience.
- At least 2 years of hands-on experience deploying analytics solutions, machine learning, or rule-based models.
- Experience with OT systems such as DCS and historians, process data, and industrial environments.
- Experience with power plant operations, thermal power, combined-cycle systems, steam turbines, gas turbines, BTG, BOP, APM, DCS, SCADA, historians, industrial analytics, or digital transformation.
- Ability to define and execute validation steps for model accuracy and output.
- Ability to document processes, follow checklists, and contribute to structured, scalable, 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.
- Strong communication, organizational, and stakeholder management skills, with a proactive approach to ambiguity and problem solving.
- Familiarity with project management tools such as ClickUp, Monday.com, Asana, or Smartsheet.
- Experience in industrial, manufacturing, or process optimization environments is preferred.
Benefits
- Hybrid role based in Bangalore, India.
- Opportunity to contribute to industrial AI solutions that improve operational efficiency and reliability for global clients.
- Collaborative, growth-oriented environment with opportunities for continuous learning and professional development.
- Leadership and innovation opportunities, including influencing product development and shaping industrial AI solutions.
Categories
Solutions Engineering
About UptimeAI
UptimeAI builds AI reasoning agents for industrial operations that analyze plant data to detect issues, recommend actions, and optimize reliability and performance. The company sells its software to heavy process industries, including oil and gas, power generation, chemicals, and cement, for predictive and prescriptive maintenance and operations guidance. Founded in 2019 and headquartered in San Francisco, it is privately held.