Intern - Advanced Intelligence at Lilly

, , India -

Full Time

Start Date

Immediate

Expiry Date

24 Jan, 26

Salary

0.0

Posted On

26 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, Data Pipelines, APIs, Cloud Platforms, Software Engineering, Data Science, REST APIs, Database Systems, GitHub, CI/CD, Generative AI, Agile Development, Statistics, Probability, ML Algorithms

Industry

Pharmaceutical Manufacturing

Description

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. About Lilly At Lilly, we combine care with innovation to improve lives worldwide. Headquartered in Indianapolis, Indiana, we are a global healthcare leader with over 39,000 employees dedicated to discovering and delivering life-changing medicines, advancing disease management, and supporting communities through philanthropy and volunteerism. Our mission is simple: put people first and make life better. We’re looking for passionate individuals who want to make a meaningful impact. Role: Machine Learning Engineer Intern As an ML Engineer Intern, you will contribute to designing, developing, and deploying intelligent systems that leverage data and AI to solve real-world problems. This role offers hands-on experience in building scalable solutions, integrating machine learning models into applications, and collaborating with cross-functional teams to deliver impactful outcomes. Key Responsibilities Assist in developing and deploying ML models for various business use cases. Work with data pipelines, APIs, and cloud platforms to enable model integration. Collaborate with software engineers, data scientists, and product teams to ensure seamless implementation. Support performance monitoring, model evaluation, and optimization. Learn and apply best practices in secure coding, version control, and CI/CD processes. Core Skills & Knowledge Strong programming fundamentals in Python (experience with frameworks like FastAPI is a plus). Familiarity with machine learning concepts, algorithms, and libraries (e.g., scikit-learn, TensorFlow, PyTorch). Basic understanding of cloud platforms (AWS or Azure) and services like EC2, S3, Lambda. Exposure to REST APIs and database systems (PostgreSQL, MongoDB). Knowledge of GitHub and branching strategies; experience with CI/CD pipelines is desirable. Interest in Generative AI and classical AI/ML applications. Preferred Qualifications Currently pursuing a degree in Computer Science, Data Science, or related field. Strong problem-solving skills and an eagerness to learn new technologies. Familiarity with Agile development practices. Basic understanding of statistics, probability, and ML algorithms. What We Value Curiosity and a passion for innovation. Ability to adapt to evolving technologies and standards. Strong collaboration and communication skills. A mindset focused on creating solutions that improve patient outcomes. Why Join Us? This internship is an opportunity to: Work on cutting-edge AI/ML projects in a global healthcare setting. Gain exposure to modern software engineering practices. Learn from experienced professionals and contribute to meaningful initiatives. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly At Lilly we strive to ensure our employees are part of a team that cares about them and our shared purpose of making life better for those around the world. How do we do this? We continue to look for ways to include, innovate, accelerate and deliver while maintaining integrity, excellence and respect for people. We hope that you seek to join us on our journey as we create medicine and deliver improved outcomes for patients across the globe! #WeAreLilly

Responsibilities

Assist in developing and deploying ML models for various business use cases. Collaborate with software engineers, data scientists, and product teams to ensure seamless implementation.