Assist in the development of AI training curriculum for the TE engineering community, addressing various levels of AI expertise, and deploy the curriculum at the enterprise scale.
Assist in project management such as schedule planning and project documentation.
Work in a multi-disciplinary environment with specialists in data science, electronics, material science, mechanics, additive manufacturing, and other fields.
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Develop reusable data science workflows, feature engineering logic, model training pipelines and evaluation frameworks to improve scalability and repeatability.
Work with data engineering and technology teams to ensure data pipelines, model inputs and analytical datasets are reliable, well-structured and fit for production use.
Develop and evaluate Generative AI solutions, including prompt-based workflows, retrieval-augmented generation, embedding pipelines, and other LLM-enabled applications.
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Document routine preventive maintenance and unscheduled failures details on system database
Provide inputs to Shift Coordinator or Equipment Engineer to improve PM cycle-time, tool availability, quality/workmanship, reduce media scrap and cost of ownership.
Provide Technical training and certification for junior technician.
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