AI Lead
IN: Bengaluru - LCCI, India
Eli Lilly and Company
Lilly is a medicine company turning science into healing to make life better for people around the world.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 the Role
We are seeking an accomplished and forward-thinking AI/ML Lead to drive high-impact AI initiatives from ideation to production at scale. This role requires a blend of strategic vision, deep technical expertise, and leadership to architect and deploy cutting-edge AI/ML solutions that seamlessly integrate into enterprise systems. You will lead complex R&D efforts, ensure alignment with business objectives, and foster a culture of continuous innovation while upholding ethical AI principles and compliance standards.
Key Responsibilities
- Strategic AI Leadership & Innovation
- Define and execute the AI/ML strategy, aligning with organizational goals and business needs.
- Drive research and development in NLP, deep learning, reinforcement learning, generative AI, and multimodal AI applications.
- Stay at the forefront of AI advancements, evaluating emerging technologies and methodologies to enhance capabilities.
- Technical Architecture & AI Model Development
- Architect and deploy scalable AI/ML models, including large language models (LLMs) and transformer-based architectures.
- Implement MLOps best practices for CI/CD, automated model retraining, and lifecycle management.
- Develop advanced AI solutions such as retrieval-augmented generation (RAG) and fine-tuning techniques (LoRA, PEFT).
- Optimize AI/ML pipelines for distributed computing, leveraging cloud platforms and accelerators (GPUs/TPUs).
- Cross-Functional Collaboration & Integration
- Work closely with data engineers, software developers, and product managers to integrate AI into production systems.
- Translate complex AI concepts into actionable insights for business stakeholders.
- Establish governance frameworks for ethical AI, ensuring compliance with industry standards.
- Team Development & Technical Mentorship
- Guide and mentor AI engineers, fostering a high-performing and collaborative environment.
- Lead AI-driven innovation within the organization, driving technical excellence and best practices.
Required Qualifications
- Bachelor's, Master's in Computer Science, AI, ML, Data Science, or related fields.
- 9+ years of AI/ML experience, including 3+ years in a leadership or senior technical role.
- Expertise in Python (NumPy, Pandas, scikit-learn), and proficiency in Java, Scala, or similar languages.
- Deep understanding of deep learning frameworks (TensorFlow, PyTorch, JAX) and NLP libraries (Hugging Face Transformers).
- Hands-on experience with MLOps, including containerization (Docker, Kubernetes), CI/CD, and model monitoring.
- Well versed with Agentic AI.
- Deep understanding on Langchain ecosystem.
- Experience with distributed computing (Apache Spark, Ray) and large-scale dataset processing.
- Proficiency in vector databases (FAISS, ChromaDB, Pinecone) for efficient similarity search.
- Strong expertise in fine-tuning transformer models, hyperparameter optimization, and reinforcement learning.
- Experience deploying AI solutions on AWS, Azure with hardware optimization for GPUs/TPUs.
- Strong analytical, problem-solving, and communication skills to bridge technical and business perspectives.
Preferred Qualifications
- Experience in regulated industries such as healthcare, biopharma.
- Contributions to AI research, open-source projects, or top-tier AI conferences.
- Familiarity with generative AI, prompt engineering, and advanced AI topics like graph neural networks.
- Proven ability to scale AI teams and lead complex AI projects in high-growth environments.
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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure CI/CD Computer Science Deep Learning Docker Engineering FAISS Generative AI Java JAX Kubernetes LangChain LLMs LoRA Machine Learning ML models MLOps NLP NumPy Open Source Pandas Pinecone Pipelines Prompt engineering Python PyTorch R RAG R&D Reinforcement Learning Research Scala Scikit-learn Spark TensorFlow Transformers
Perks/benefits: Career development Conferences
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