Co-op IT AI Developer
Boehringer Ingelheim · Ridgefield, CT · 6 days ago
HybridInformation Technology$20–$33/hrFull-time
Description
Boehringer Ingelheim is seeking a talented and innovative Intern to join their IT Marketing and Sales, Data Driven Customer Insights team at their Ridgefield, CT facility. The Intern will collaborate with a skilled team to develop, test, and deploy AI solutions that enhance efficiency and innovation within the company.
Duties & Responsibilities
- Learn to work on Boehringer's existing GenAI and Agentic AI infrastructure to implement new projects
- Interact with business stakeholders to understand project requirements and translate those into technical requirements
- Develop quick Proof of Concepts (PoCs) and test to validate new ideas and project requirements
- Study recent advancements in GenAI and propose ideas to improve existing systems or address new requirements
- Present findings to stakeholders including IT and Business representatives
Requirements
- Must be a current undergraduate, graduate, or advanced degree student in good academic standing
- Must be enrolled at an accredited college or university for the duration of the internship/co-op
- Overall cumulative minimum GPA from last completed quarter/semester 3.0 GPA (on a 4.0 scale) preferred
- Major or minor in related field of internship/co-op
- Undergraduate students must have completed at least 12 credit hours at current college or university
- Graduate and advanced degree students must have completed at least 9 credit hours at current college or university
Eligibility Requirements
- Must be legally authorized to work in the United States without restriction
- Must be willing to take a drug test and post-offer physical (if required)
- Must be 18 years of age or older
Desired Skills, Experience and Abilities
- Currently pursuing a bachelor’s or graduate degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field
- Good understanding of topics such as LLM, Knowledge Graph, RAG, GraphRAG, and Agentic AI
- Proficiency in Python and familiarity with libraries such as LangChain, LangGraph, Scikit-learn, TensorFlow, or PyTorch
- Excellent analytical, problem-solving, and communication skills
- Ability to work independently and in a collaborative team environment
- Understanding of machine learning and deep learning techniques is a plus
- Prior experience in AWS or other enterprise software development environment is desired