Eli Lilly Off Campus Drive 2026 | Machine Learning Engineer

Eli Lilly is hiring a Machine Learning Engineer for its AI Engineering team in Bengaluru. The role is open to candidates with a bachelor’s or master’s degree in Computer Science, Computer Applications, or a related technical field, along with 0–4 years of experience building and operating production ML/AI systems. The engineer will develop production-grade machine learning services, MLOps workflows and reliable deployment pipelines using tools such as Python, AWS, Databricks, Docker and Kubernetes. It is worth applying for candidates who want direct ownership of ML features from design through deployment, monitoring and retraining.

Company Overview

Eli Lilly is a global pharmaceutical company that uses scientific research, digital capabilities and data to develop and deliver medicines. This role sits within the Bengaluru Business Insights & Analytics organisation, giving engineers the opportunity to work on AI engineering, machine learning operations and platform reliability in a large healthcare business.

Role Overview

The Machine Learning Engineer will work across machine learning engineering, MLOps and platform reliability. The role combines software development with the operation of production AI systems, including the infrastructure and processes needed to keep models dependable after deployment.

• Build and maintain production-grade machine learning and artificial intelligence components and services.
• Own ML features from initial design through implementation, deployment and ongoing support.
• Create CI/CD pipelines and automate delivery workflows for machine learning systems.
• Deploy and orchestrate workloads across Docker, Kubernetes and Prefect.
• Support models through deployment, production monitoring and retraining activities.
• Debug complex systems and contribute to the reliability of the ML platform.

Eligibility & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Applications, or a related technical field.
• 0–4 years of experience building and operating production ML/AI systems.
• Candidates should be prepared to work from Bangalore.

Key Responsibilities

• Translate ML engineering requirements into maintainable production components and services.
• Design, develop and maintain software used to run machine learning workloads.
• Implement automated build, test and deployment processes through CI/CD pipelines.
• Package applications and models with Docker and manage their execution using Kubernetes.
• Use Prefect to deploy and orchestrate machine learning workloads and workflows.
• Work with AWS and Databricks/Unity Catalog as part of the ML engineering environment.
• Investigate failures, debug complex systems and improve platform reliability.
• Monitor deployed models and services, identify operational issues and support retraining.
• Follow features through the full lifecycle, from design and development to production operation.
• Collaborate with the team in an Agile/Scrum delivery environment.

Skills Required

• Strong Python programming skills.
• Git and GitHub, including familiarity with GitHub Actions.
• SQL and experience working with data and ML engineering workflows.
• AWS, Databricks and Unity Catalog.
• Docker and Kubernetes for containerisation and workload orchestration.
• Prefect for workflow orchestration.
• CI/CD practices, production monitoring, model versioning and model lineage.
• GitOps governance and software engineering best practices.
• Testing and quality-focused development.
• Strong communication skills.
• Ability to work effectively in Agile/Scrum environments.

How to Apply for Eli Lilly Off Campus Drive 2026

Eligible and Interested candidates can apply using the below-mentioned link before the link expires. Applicants need to register with the company portal in order to complete the registration process.

Apply Link: Click Here To Apply