Job Description
<p></p><p><b>Job Description :</b><br/><br/><b>Job Summary :</b><br/><br/>Looking for an AI Developer with proficiency in AI, artificial intelligence, deep learning, NLP, generative AI, and optimization approaches.<br/><br/>Proficient in developing, implementing, and launching AI models for functions like predictive analytics, anomaly detection, intelligent process improvement, and conversational AI.<br/><br/>Proficient in applying reinforcement learning, fuzzy logic methodologies, and decision-making strategies.<br/><br/>Having expertise in reinforcement learning, fuzzy logic systems, and decision-making using innovative technology is beneficial.<br/><br/>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.<br/><br/>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.<br/><br/>If you think this role suits you, join our team and apply now!<br/><br/><b>In this Role, Your Responsibilities Will Be :</b><br/><br/>- 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.<br/><br/>- 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.<br/><br/>- 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.<br/><br/>- 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.<br/><br/>- 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.<br/><br/>- MLOps & Lifecycle Management : Implement and maintain AI model pipelines for training, validation, deployment, monitoring, and continuous improvement in the Ovation engineering environment.<br/><br/>- 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.<br/><br/>- Compliance & Security : Ensure all AI solutions align with Emersons Plantweb ecosystem standards, cybersecurity guidelines, and operational safety procedures.<br/><br/>- Clear Communication : Proficiently explain technical concepts to non-technical colleagues and support a culture of innovation, collaboration, and Agile delivery.<br/><br/><b>Who You Are :</b><br/><br/>We are looking for a proactive professional who excels in dynamic, fast-paced environments.<br/><br/>You demonstrate exceptional initiative, confidently tackling complex challenges in power plant control and optimization.<br/><br/>With a strong commitment to innovation and excellence, you set ambitious goals and uphold the highest standards in every project.<br/><br/><b>For This Role, You Will Need :</b><br/><br/>A Bachelors degree (or equivalent experience) in Engineering, Artificial Intelligence, Data Science, Electrical/Computer Engineering, or a related field.<br/><br/>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.<br/><br/><b>Preferred Qualifications That Make You Stand Out :</b><br/><br/>- 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.<br/><br/>- Proven proficiency in Python, TensorFlow/PyTorch, and MLOps frameworks, with hands-on experience in deploying AI in production and industrial environments.<br/><br/>- 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.<br/><br/>- Strong understanding of control theory and advanced control strategies (PID, MPC, fuzzy logic, multivariable control) and how AI can enhance traditional approaches.<br/><br/>- Experience working with Emerson Ovation DCS or similar control/automation systems, integrating AI-based modules into control engineering workflows.<br/><br/>- Proficiency in predicting maintenance issues, detecting irregularities, and enhancing processes with time-series data from historians/DCS systems.<br/><br/>- Familiarity with responsible AI practices (explain ability, bias detection, compliance) to ensure safe and trustworthy adoption in critical infrastructure.<br/><br/>- Excellent communication and collaboration skills, with the ability to bridge AI/ML techniques with domain experts in power generation and automation.<br/></p><p></p> (ref:hirist.tech)