
AI/ML Engineer
- Noida, Uttar Pradesh
- Permanent
- Full-time
- 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.
- 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.
- Deep expertise in machine learning, deep learning, and generative AI techniques (LLMs, diffusion models, reinforcement learning), enabling automation, optimization, and decision support in engineering workflows.
- Proven proficiency in Python, TensorFlow/PyTorch, and MLOps frameworks, with hands-on experience in deploying AI in production and industrial environments.
- Knowledge of power plant processes (boiler, turbine, steam temperature, combustion, unit load optimization, drum level/feedwater control) and ability to apply AI/ML solutions to optimize these operations.
- Strong understanding of control theory and advanced control strategies (PID, MPC, fuzzy logic, multivariable control) and how AI can enhance traditional approaches.
- Experience working with Emerson Ovation DCS or similar control/automation systems, integrating AI-based modules into control engineering workflows.
- Proficiency in predicting maintenance issues, detecting irregularities, and enhancing processes with time-series data from historians/DCS systems.
- Familiarity with responsible AI practices (explain ability, bias detection, compliance) to ensure safe and trustworthy adoption in critical infrastructure.
- Excellent communication and collaboration skills, with the ability to bridge AI/ML techniques with domain experts in power generation and automation.