Schneider Electric is looking to solve the problem of building industry-leading machine learning tools in the energy and sustainability management industry.
Requirements
- Pursuing a degree in mathematics, statistics, data science, analytics or other quantitative fields
- Experience with cloud computing in the context of ML and AI.
- Programming expertise in languages such as Python, SQL, R, etc.
- Experience with Natural Language Processing, Deep Learning, Transfer Learning, etc.
- Analytical self-starter with strong attention to detail and desire to learn new things.
- Strong organizational and problem-solving skills with the ability to work on multiple complex projects in diverse areas, versatile and capable within multiple disciplines.
- Experience with optimization, time-series forecasting, and reinforcement learning are all a plus!
Responsibilities
- Design and develop optimization techniques and tools to identify trends in complex, large, structured, and unstructured data sets.
- Design and develop products which utilize Large Language Models (LLMs) or other Generative AI.
- Design and develop simulation tools for training and testing ML and deep learning models.
- Collaborate with other business team resources to identify, develop, test, and create new solutions/products.
- Apply knowledge of technology with knowledge of contemporary business models to synthesize potential opportunities.
- Work with cutting-edge technologies in ML subfields such as Natural Language Processing (NLP) and Reinforcement Learning (RL)
Other
- Must be a current student for the duration of the internship
- Must be able to work in a hybrid capacity on a weekly basis in our Louisville, KY office
- This position does not offer sponsorship now or in the future
