Advisor - ML Engineering & Operations

550 Eli Lilly Services India Pvt Ltd; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

At Lilly Bengaluru, we seek a Senior ML/AI Engineer to own complex ML architectures and agentic AI pipelines that power commercial analytics across Marketing, Sales and Medical Affairs. You will collaborate with data scientists, software engineers, and infrastructure teams to deploy production-grade models at scale.

You will lead LLMOps practices, manage prompt strategies, and build retrieval-augmented systems with vector databases. Strong Python, PySpark, and cloud/CDL experience are essential.

Qualifications

• Strong knowledge of end-to-end ML and agentic AI solution design.
• Production-grade ML engineering experience.
• Experience with large-scale data processing in Python/PySpark.

Responsibilities

• Own end-to-end ML architecture and pipeline decisions.
• Design & review ML architecture with stakeholders.
• Own CI/CD orchestration and production monitoring.

Skills

Python

PySpark

ML frameworks

AWS (SageMaker)

Docker

Kubernetes

CI/CD (GitHub Actions)

LangGraph

MLOps (MLflow, Kedro, Prefect)

Pinecone / vector DB

Education

Master's or PhD in CS/AI

Tools

LangGraph

Pinecone

SageMaker

Kedro

Prefect

Job description

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life‑changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing.

About Lilly

At Lilly, everything we do starts with patients. We unite caring with discovery to make life better for people around the world. Headquartered in Indianapolis, Indiana, our global team of over 50,000 employees work with urgency and purpose to discover and deliver life‑changing medicines, strengthen how health is understood and managed, and support the communities we serve. We bring our best to this work because people depend on it.

About Commercial at Lilly, Bengaluru

The medicines Lilly develops only reach patients if the commercial engine behind them works with precision. At Lilly in Bengaluru, the commercial function builds and powers that engine, designing the capabilities, generating the intelligence, and developing the strategies that Lilly's customer‑facing teams around the world depend on to connect medicines to the people who need them. The work here is not local in scope. It shapes how Lilly operates commercially across geographies, business units, and markets globally.

The Lilly Bengaluru Business Insights & Analytics team was started in 2017 with the objective of using innovative data mining and analytics to support business decisions to Marketing functions in the US and ex‑US affiliates (focused on in‑line and pre‑launch brands). This team has rapidly grown and currently comprises of more than 100 staff members, with varied backgrounds and skills across data management, data sciences, analytical techniques, pharmaceutical commercial operations, and business insights.

The team provides analytics outcomes for driving decision making across Lilly's Marketing, Sales, Medical Affairs, and a range of other functions. To support the marketing teams in their decision-making, a data and analytics team has been set up simultaneously in Indianapolis (HQ) and Bengaluru (Lilly Bengaluru). This team is responsible for setting up the data warehouses necessary to handle large volumes of digital streaming data, create meaningful analyses using that data, and deliver recommendations to leadership.

As part of the Lilly Bengaluru team, we have an exciting opportunity for a Senior ML/AI Engineer who will own complex ML architecture and pipeline decisions across key initiatives while also leading technical integration with Lilly's Agentic AI engineering team as our programs adopt agentic AI capabilities. This is a hands‑on, individual contributor role that calls for genuine depth on both sides: production‑grade ML engineering and agentic AI development.

Core Responsibilities

• Own end-to-end ML architecture, feature engineering, and pipeline design decisions for key commercial analytics initiatives
• Design and review ML architectural decisions with stakeholders, setting patterns that other engineers build on
• Own CI/CD pipeline orchestration, deployment (Docker/Kubernetes/Prefect), and production monitoring across multiple projects
• Apply software engineering rigor and best practices to ML systems, including CI/CD, automation, and testing
• Optimize model hyperparameters and evaluate model performance, robustness, and explainability across production ML systems
• Design and build production agentic AI systems using frameworks such as LangGraph — multi‑step reasoning, tool use, and orchestration across complex workflows
• Own the LLMOps practice for initiatives you lead: prompt versioning, evaluation pipelines, cost/latency monitoring, and guardrails for production LLM applications (Claude or similar)
• Architect retrieval‑augmented generation systems and integrate vector databases (e.g., Pinecone) for semantic search and retrieval at production scale
• Serve as the primary technical point of contact with Lilly's Agentic AI engineering team, defining technical contracts, APIs, and shared SLAs as programs adopt agentic capabilities
• Set and document human‑in‑the‑loop boundaries in partnership with Data Science and business stakeholders
• Provide informal technical oversight for 2-3 more junior engineers — reviewing designs and code, and unblocking hard technical problems, without formal people‑management responsibility
• Coordinate with diverse stakeholders such as Data Scientists, software engineers, and infrastructure teams to design the most optimal ML and agentic pipelines

Required

• Knowledge of architectural design and implementation of end‑to‑end ML and agentic AI solutions
• Strong knowledge of core ML frameworks (scikit‑learn, PyTorch, TensorFlow, Keras, or equivalent) and the ability to understand and extend the modeling work of Data Scientists into production‑grade systems
• Strong knowledge of Python and PySpark for large‑scale data processing; working knowledge of R is preferred (for Framebar pipeline hand‑off from Data Science)
• Proficient in AWS components such as SageMaker, Lambda, and other AWS/serverless services (this role consumes cloud infrastructure rather than provisioning it directly)
• Strong knowledge of Docker, Kubernetes, and CI/CD tooling (GitHub Actions)
• Extensive hands‑on experience with LangGraph or a comparable agentic framework, at a level where you'd be setting patterns for others, not learning them
• Experience with MLOps frameworks such as MLflow, Kedro, and Prefect
• Production experience with LLM application development — prompt engineering, RAG architecture, and LLMOps practices (evaluation, cost/latency monitoring, guardrails)
• Experience with Pinecone or a similar vector database for semantic search/retrieval at production scale
• Experience defining technical contracts, APIs, or integration boundaries with another engineering team, not just consuming someone else's platform
• Experience developing in a Scrum/Agile environment
• Excellent verbal and written communication skills, with the ability to advocate technical solutions to Data Scientists, engineering teams, and business audiences

Education

• Master's or PhD in Computer Science, Computer Applications, or a related technical field, or equivalent specialization/certifications in ML/AI Engineering, with a deep understanding of SDLC

At Lilly, caring is not only what we do for patients. It is how we work. We believe the people who dedicate themselves to making medicines better deserve an environment that makes their lives better too, one where they are supported, respected, and given the space to do their best work. This is not just a policy. It is who we are.

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. 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.

#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.