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AI Model Development Specialist

3 weeks ago


Noida, Uttar Pradesh, India beBeeModeler Full time US$ 1,50,000 - US$ 2,00,000
Artificial Intelligence Modeler

Our organization is seeking an accomplished AI/ML modeler with expertise in developing, implementing, and launching artificial intelligence models for functions like predictive analytics, anomaly detection, and intelligent process improvement.


Key Responsibilities:
  • Develop AI/ML models that automate tasks such as control logic generation, graphics template suggestions, report/documentation automation, and workflow optimization.
  • Analyze system engineering data to identify patterns, build predictive tools, and enable data-driven decision-making.
  • Integrate large language models (LLMs) and natural language processing (NLP) techniques to translate natural language descriptions into configuration elements and intelligent engineering support tools.
  • Create AI-powered operator-assistive tools such as SOP recommendations, automated report generation, intelligent dashboards, and alarm prioritization to enhance plant performance.
  • Design AI-based modules for predictive maintenance, control loop performance monitoring, anomaly detection, and root-cause analysis using historian and time-series process data.
  • Implement and maintain AI model pipelines for training, validation, deployment, monitoring, and continuous improvement in the Ovation engineering environment.

Requirements:
  • A Bachelor's degree 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, 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 and ability to apply AI/ML solutions to optimize these operations.
  • Strong understanding of control theory and advanced control strategies, and how AI can enhance traditional approaches.