IBU Solution Services AI Senior Engineer

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.

Job Title: IBU Solution Services AI Senior Engineer

Job Function: Analytics and Data Sciences

Location: Bangalore, India

Hiring Manager: Shubhra Verma

Role Level: 7 to 10 years

Detailed Description:

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 39,000 employees 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 globe.

Responsibilities:

• Lead the design, development, and deployment of advanced machine learning models and algorithms for various applications.
• Perform comprehensive data analysis, feature engineering, and model training with large and complex datasets.
• Collaborate with cross-functional teams to understand business requirements and translate them into sophisticated technical solutions.
• 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.
• Optimize AI/ML pipelines for distributed computing, leveraging cloud platforms and accelerators (GPUs/TPUs).
• Develop and maintain scalable advanced AI solutions such as retrieval-augmented generation (RAG) and fine-tuning techniques (LoRA, PEFT).  .
• Conduct thorough model evaluation, validation, and testing to ensure high performance and accuracy.
• Stay at the forefront of AI/ML advancements and integrate cutting-edge techniques into existing and new projects.
• Mentor and provide technical guidance to junior developers and team members.
• Author and maintain detailed documentation of processes, methodologies, and best practices.
• Implement and optimize cutting-edge deep learning models, such as Generative Adversarial Networks (GANs) and transformer architectures (e.g., BERT, GPT).
• Explore and implement federated learning approaches to build AI/ML models while preserving patient data privacy and security.
• Integrate explainable AI (XAI) techniques to ensure transparency and interpretability of machine learning models.
• Translate complex AI concepts into actionable insights for business stakeholders.

Required Qualifications:

• Bachelor's, Master's in Computer Science, AI, ML, Data Science, or related fields.
• 7+ years of experience with AI / ML solutions
• Extensive experience in developing and deploying machine learning models in a production environment.
• 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, Chroma DB, Pinecone) for efficient similarity search.  
• Strong expertise in fine-tuning transformer models, hyperparameter optimization, and reinforcement learning.
• In-depth experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.
• 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.

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