Emerson - Artificial Intelligence/Machine Learning Engineer - LLM

Job Description :

Job Summary :

Looking for an AI Developer with proficiency in AI, artificial intelligence, deep learning, NLP, generative AI, and optimization approaches.

Proficient in developing, implementing, and launching AI models for functions like predictive analytics, anomaly detection, intelligent process improvement, and conversational AI.

Proficient in applying reinforcement learning, fuzzy logic methodologies, and decision-making strategies.

Having expertise in reinforcement learning, fuzzy logic systems, and decision-making using innovative technology is beneficial.

This role involves designing, implementing, and optimizing AI-powered solutions to enhance the performance, efficiency, and reliability of digital platforms, industrial processes, and enterprise systems.

The candidate will work on integrating AI models into production environments, automating workflows, and bringing to bear generative AI to drive innovation across business applications.

If you think this role suits you, join our team and apply now

In this Role, Your Responsibilities Will Be :

- 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 Emersons 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.

Who You Are :

We are looking for a proactive professional who excels in dynamic, fast-paced environments.

You demonstrate exceptional initiative, confidently tackling complex challenges in power plant control and optimization.

With a strong commitment to innovation and excellence, you set ambitious goals and uphold the highest standards in every project.

For This Role, You Will Need :

A Bachelors degree (or equivalent experience) in Engineering, Artificial Intelligence, Data Science, Electrical/Computer Engineering, or a related field.

2 to 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.

Preferred Qualifications That Make You Stand Out :

- 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.