Intern Summer IT M&S

Boehringer Ingelheim • Ridgefield, CT • 1d ago

Compensation Data

This position offers an hourly rate between $24 and $33 / hour commensurate to the level of degree program in which an applicant is actively enrolled.?For an overview of our benefits please click here. (https://www.boehringer-ingelheim.com/us/careers/benefits-rewards) ?

Description

Boehringer Ingelheim is currently seeking a talented and innovative Intern to join our Data Driven Customer Insights team located at our Ridgefield, CT facility. As an Intern, you will collaborate with a highly skilled team of engineers, data scientists, and business stakeholders to develop, test, and deploy cutting-edge AI solutions that drive innovation and efficiency across our organization. Specifically, you will help to improve efficiency of Agentic AI systems to generate accurate and business specific insights from structured, unstructured, and multi-modal data..

As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees

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 that to technical requirements

Develop quick PoCs and test to validate new ideas/project requirements

Study recent GenAI specific works and research ideas and propose such ideas to the team to either improve the efficiency existing systems or to solve new requirements

Present the work to the stakeholders including IT and Business representatives

Requirements

Must be a current undergraduate, graduate or advanced degree student in good academic standing.

Student 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 machine learning and deep learning techniques is a plus

All qualified applicants will receive consideration for employment without regard to a person's actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law.

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