AI/ML Engineer

Emerson is hiring for the role of AI/ML Engineer!

Responsibilities of the Candidate:

• AI/ML Model Development & Automation – Develop AI/ML models that assist Ovation engineers by automating tasks such as control logic generation, graphics template suggestions, report/documentation automation, and workflow optimization.
• Data-Driven Insights & Predictive Tooling – Analyze Ovation system engineering data (configuration files, tag databases, and control schemes) to identify patterns, build predictive tools, and enable data-driven decision-making.
• Generative AI & NLP Applications – Integrate large language models (LLMs) and natural language processing (NLP) techniques to translate natural language descriptions into Ovation configuration elements and intelligent engineering support tools.
• Productivity & Operator Assistance – Create AI-powered operator-assistive tools such as SOP recommendations, automated report generation, intelligent dashboards, and alarm prioritization to enhance plant performance.
• Predictive Maintenance & Anomaly Detection – Design AI-based modules for predictive maintenance, control loop performance monitoring, anomaly detection, and root-cause analysis using Ovation historian and time-series process data.
• MLOps & Lifecycle Management – Implement and maintain AI model pipelines for training, validation, deployment, monitoring, and continuous improvement in the Ovation engineering environment.
• Collaboration & Co-Creation – Work closely with control engineers, software developers, and UX designers to deliver user-friendly AI-enabled features; collaborate with plant engineers and operators to validate models and ensure seamless integration with DCS HMI.
• Compliance & Security – Ensure all AI solutions align with Emerson’s Plantweb ecosystem standards, cybersecurity guidelines, and operational safety procedures.
• Clear Communication – Proficiently explain technical concepts to non-technical colleagues and support a culture of innovation, collaboration, and Agile delivery.

Requirements:

• A Bachelor’s degree (or equivalent experience) in Engineering, Artificial Intelligence, Data Science, Electrical/Computer Engineering, or a related field.
• 2–5 years of hands-on experience in AI/ML model development, deployment, and optimization, with a track record of driving innovation and efficiency in real-world applications.