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Sr. Principal Machine Learning Engineer

Eli Lilly

Bengaluru

6+ years

Today

$47.0K–75.9K/yr

Full time

Onsite

Skills Required

LLM

RAG

LangChain

Agentic AI

Gen AI

Embeddings

Prompt Engineering

Fine-tuning

Vector Database

Transformer

LoRA

QLoRA

model distillation

Small Language Models

Python

Description

Lilly is a global pharmaceutical company focused on developing AI systems to improve patient outcomes. This senior role involves building scalable AI/ML solutions and influencing engineering practices across teams.

Company: Lilly

Role: Senior AI/ML Engineer

Experience

6+ years of experience building and deploying production machine learning or AI solutions
3+ years working with generative AI technologies including LLMs, RAG architectures, embeddings, prompt engineering, model evaluation, and agentic workflows

Qualification

M.Tech, MS, or higher degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative discipline preferred





Responsibilities

Architect and build production-grade machine learning, deep learning, generative AI, and agentic AI systems
Lead technical design for solutions involving retrieval-augmented generation, embeddings, semantic search, LLM orchestration, Text2SQL, recommendation systems, predictive modeling, and intelligent workflow automation
Design scalable AI services and APIs integrating with enterprise data platforms, business applications, CRM ecosystems, and downstream workflows
Design, train, fine-tune, and deploy neural network models including Transformers, CNNs, RNNs, and LSTMs
Develop deep learning solutions prioritizing performance, explainability, scalability, and production readiness
Apply frameworks such as PyTorch and TensorFlow to build and productionize neural network models
Build modular, reusable, observable, secure, and maintainable AI solutions aligned with enterprise technology patterns
Own full lif

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