Role overview
- Working knowledge of technology infrastructure, Software Engineering & enterprise architecture to act as the principal liaison with the technology, product & software engineering teams
- Experience of interpreting the needs of the business into technical solutions with AI & ML applications
- Identify, apply, train and optimize generative AI models (mainly LLMs) for various applications using advanced digital twin technologies with existing predictive analytics models based on structured and unstructured data, machine data (time series) and text
- Develop, implement and optimize machine learning algorithms for production grade solutions for both Digital Twin and Generative AI applications
- Conduct research and stay updated on the latest advancements in generative AI and machine learning tools, applications and approaches
- Develop scalable and efficient pipelines for data preprocessing, model training and development
- Collaborate with Software Engineers, Data Scientists, Mechanical Engineers, Field Engineers, Analytics Specialists and service personnel to integrate models into Solar Turbines AI Service framework and Digital platforms
- Evaluate model performance and iterate to improve accuracy, efficiency and reliability to support the development of enterprise quality AI/ML systems
- Document technical solutions and processes to ensure knowledge sharing and reproducibility.
What we're looking for
- Experience with data preprocessing, feature engineering, reduced order modeling and handling of large datasets
- Knowledge of MLOps practices, including CI/CD pipelines and model monitoring
- Experience in libraries/frameworks like TensorFlow, PyTorch and Hugging Face
- Understanding of ethical AI principles and model interpretability
- Understanding of industrial gas turbine technology is a bonus.
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
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