Principal AI Engineer
Caterpillar18 hours ago
Chennai, India or Bengaluru, IndiaStaff+
Responsibilities
- Lead and deliver implementation strategies for state-of-the-art GenAI applications in manufacturing.
- Design and implement knowledge-transfer strategies to scale expertise across a growing AI team.
- Drive technical innovation through experimentation while maintaining customer commitments and delivery expectations.
- Collaborate with product, engineering, and operations teams to design and integrate AI features into digital products.
- Build production-grade AI services with scalability, availability, security, resiliency, performance, logging, monitoring, and cost optimization.
- Develop multimodal AI and RAG solutions using enterprise and manufacturing data.
- Apply machine learning to predictive maintenance, defect detection, process automation, simulation, forecasting, and optimization.
- Deploy and operate production AI solutions with data pipelines, monitoring, retraining, and scalability in factory environments.
Requirements
- Bachelor’s degree in computer science, artificial intelligence, data science, mathematics, or a similar field with quantitative coursework, plus 10–16 years of relevant professional experience; alternatively, a master’s degree with 8–10 years or a PhD with 5–7 years.
- Strong software engineering skills in Python and common machine learning libraries, including TensorFlow, PyTorch, Scikit-learn, and JAX.
- Mastery of supervised, unsupervised, and reinforcement learning algorithms applied to manufacturing.
- Experience building production-grade AI services and deploying production AI solutions with robust MLOps practices.
- Experience with multimodal AI and RAG involving text, tables, images, technical documents, diagrams, and enterprise or manufacturing data.
- Experience applying GenAI to generative design, simulation, predictive modeling, demand forecasting, or process optimization in industrial environments.
- Experience with frameworks such as LangChain, LangGraph, or industry GenAI stacks.
- Preferred experience in technical training, mentorship, consulting, manufacturing data, industrial protocols, plant systems, digital twins, knowledge graphs, graph databases, vector databases, manufacturing ontologies, semantic models, and real-time manufacturing data integration.
- Preferred experience optimizing AI applications for latency, throughput, token consumption, infrastructure utilization, and operating cost.
Categories
About Caterpillar
Caterpillar Inc. designs, manufactures, and services construction and mining equipment, diesel and natural gas engines, industrial gas turbines, and diesel-electric locomotives for infrastructure, resource, and energy customers. The public company, founded in 1925 and headquartered in Irving, Texas, sells primarily through an independent worldwide dealer network and provides equipment financing. It operates through Construction Industries, Resource Industries, and Energy & Transportation segments, with shares traded on the NYSE and Euronext Paris.