Exciting Job Opportunity at Lilly: Engineer I (AI/ML) - Software Configuration & Development, Research IDS

At Lilly, we combine caring and discovery to improve lives globally. Headquartered in Indianapolis, Indiana, our global healthcare leadership is backed by our dedicated employees who strive to bring life-changing medicines to those in need, advance understanding and management of diseases, and give back to communities through philanthropy and volunteerism. Join us in our mission to put people first and enhance lives worldwide.

Position

Title: Engineer I (AI/ML) - Software Configuration & Development, Research IDS
Location: Bangalore, India
Path/Level: R1

Note: Roles are posted at the lowest level of a band. Employees should explore all levels within the band to identify opportunities. Those hired on banded positions will transfer at their current level, regardless of the job posting level.

Lilly's Mission

We unite caring with discovery to make life better for people around the world. With a workforce of 39,000 employees, we are committed to discovering and delivering essential medicines, improving disease management, and supporting communities through philanthropy and volunteerism.

Key Responsibilities

• Develop and implement machine learning models and algorithms for various applications.
• Analyze and preprocess datasets to ensure data quality and relevance.
• Collaborate with data scientists, software engineers, and product managers to understand requirements and deliver solutions.
• Deploy machine learning models into production environments and monitor their performance.
• Conduct research to stay updated on the latest advancements in AI and machine learning.
• Optimize and tune models for performance, scalability, and efficiency.
• Document processes, models, and methodologies to ensure reproducibility and maintainability.
• Participate in code reviews and contribute to the continuous improvement of our development practices.

Basic Requirements & Experience

• Bachelor’s degree in computer science, Information Technology, or related field.
• 3-5 years of experience as an AI/ML engineer or similar role.
• Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Hands-on experience with model development and deployment processes.
• Proficiency in programming languages such as Python.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Familiarity with cloud platforms (e.g., AWS) and containerization (e.g., Docker, Kubernetes).
• Experience with version control systems (e.g., GitHub).
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and the ability to work collaboratively in a team environment.
• Proficiency in data manipulation and analysis using libraries such as NumPy and Pandas.
• Knowledge of deep learning, ML Ops: Kubeflow, MLFlow, Nextflow is a plus.

About Us

Lilly IT leverages cutting-edge technologies to advance our mission of creating life-saving medicines. Our team designs and maintains state-of-the-art capabilities to push the boundaries of what's possible in healthcare, from data-driven drug discovery to connected clinical trials. We believe in hiring top talent from diverse backgrounds to deliver innovative solutions.

As we enter a period of significant growth, Lilly is investing globally to build new, state-of-the-art facilities and expand existing ones. These facilities incorporate advanced technology and automated systems with a commitment to minimizing environmental impact.

Note: Internal applicants should discuss opportunities with their current supervisor before applying. Your supervisor will be notified upon your application.

Equal Opportunity Employer

Lilly does not discriminate based on age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability, or any other legally protected status.

Lilly is committed to assisting individuals with disabilities to participate in the workforce. If you require an accommodation to submit a resume for positions at Lilly, please email for further assistance. Note: This email address is solely for requesting accommodations