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Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Help shape the future of intelligent engineering and power plant operations by developing hands-on AI/ML and agent-based solutions
- Build intelligent tools and AI agents that automate control logic generation, graphics configuration, reporting, and engineering workflows
- Analyze control system and operational data to uncover patterns, develop predictive capabilities, and deliver data-driven decision support for real-world power plant environments
- Apply AI-based anomaly detection, diagnostics, and decision-support solutions to real power-plant operational challenges
- Translate plant operating behavior, control logic, alarms, and historian trends into practical AI use cases and agent workflows
- Work with time-series operational data from DCS/SCADA and plant historians (preferably Emerson Ovation) to identify abnormal patterns, degradation, and performance losses
- Collaborate with sales and marketing, and reliability teams to validate AI insights against real plant conditions
- Support development and tuning of AI/analytics models using Python and data tools (focus on application rather than algorithm research)
- Integrate AI outputs into dashboards, alerts, and engineering workflows without impacting plant safety or control integrity
- Test, validate, and monitor AI solutions in live or near-real plant environments, ensuring reliability and low false-alarm rates
- Continuously improve AI performance using operational feedback, historical fault data, and domain knowledge
- Troubleshoot deployed analytics/AI tools and coordinate improvements with software or data teams.
Requirements
What you’ll need- Bachelor’s degree in electrical, Instrumentation, Mechanical, or Control Engineering (or equivalent plant experience)
- Hands-on experience in power-plant operations, control systems, or industrial automation (DCS/SCADA exposure required; Emerson Ovation preferred)
- Strong understanding of:
- - Plant processes (boiler, turbine, balance-of-plant, heat rate, alarms, trips)
- - Instrumentation, control loops, and operational troubleshooting
- - Historian/time-series operational data
- Basic programming or data skills (Python, SQL, or similar) sufficient to work with analytics and AI teams.
- Practical understanding of anomaly detection, predictive maintenance, or performance monitoring concepts (application level, not theory)
- Ability to translate operator problems into deployable digital/AI solutions.
- Strong collaboration and communication skills across plant, engineering, and software teams.
Benefits
Comp & perks- We provide a variety of medical insurance plans, with dental and vision coverage
- Employee Assistance Program
- 401(k)
- Tuition reimbursement
- Employee resource groups
- Recognition
- Flexible time off plans
- Paid parental leave (maternal and paternal)
- Vacation and holiday leave
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AIMLanomaly detectionpredictive maintenancePythonSQLdata analysiscontrol systemsindustrial automationtime-series data
Soft Skills
collaborationcommunicationtroubleshootingproblem-solvingdecision supportanalytical thinkingadaptabilityteamworkattention to detailcontinuous improvement
