Sr Principal Machine Learning 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.

Eli Lilly Services India Pvt Ltd

Business Insights & Analytics – Sr Principal Machine Learning 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 39,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease. We are looking for people who are determined to make life better for people around the world.

The LCCI (Lilly Capability Centre India), BI&A (Business Insights & Analytics) team was started in 2017 with the objective of supporting business decisions for the commercial and marketing functions in the US and ex-US affiliates. This team is part of the LCCI - Commercial Services organization and works very closely with business analytics team based in Indianapolis (HQ). The team currently comprises of ~300 team members, with varied backgrounds and skills across data democratization, data engineering, analytics, data sciences, and market research. The team works across customer segments which include HCPs, Payer and HCOs, Consumer, and Medical Affairs.

To better meet evolving business needs, the LCCI BI&A team is expanding their ML operations capabilities. We are looking for a techno-functional leader to provide thought leadership to a team of talented ML engineers, data scientists, and data engineers, bringing specific expertise in scaling and productionizing LLMs and Gen AI.

Core Responsibilities:

Ownership of Project/Product Delivery

• Serve as trusted advisor by actively participating in various phases of the projects (including kick-off, methodology development, execution, and continuous improvement)
• Effectively communicate with stakeholders to provide recommendations on approach and present final outcomes
• Build deep expertise on LLM / Gen AI infrastructure and productionization capabilities

Project Management and Leadership

• Set up processes to ensure continuous high-quality delivery by the team, including but not limited to implementing best project management practices
• Support a team of highly talented professionals and implement upskilling plans as required for business need, working in close collaboration with the people leader
• Coach/mentor and develop a pipeline of ML Engineering talent

Strategic Growth and Thought Partnerships

• Strategize on key opportunities and white spaces, drive discussions, and expand outcomes
• Partner with leadership on identification and development of core ML operations capabilities, and influence cross functional partners in adoption
• Interface with cross functional partners across the organization, including data engineering, data analytics, data science, IT, and other groups to adopt efficient working models and deliver on high impact projects
• Network with industry experts and external consultants as needed to develop, test, and implement new approaches and solutions for ML Operations capabilities at LCCI

Required Skills and Expertise:

• 9+ years of relevant experience in an ML Engineering, ML Ops, or Dev Ops space (preference for experience in LLMs and/or Gen AI)
• Persuasive communication and inter-personal skills
• Strong analytical and problem-solving skills to be able to structure and solve open ended business problems (pharma experience is highly preferred)

• Demonstrated expertise in building ML/automation pipelines from scratch (Including model versioning, model and data lineage, monitoring, model hosting and deployment, model optimization, scalability, orchestration, continuous learning, automated pipelines)

• Strong knowledge of Python and PySpark. Working knowledge of R is preferred

• Strong knowledge of working tools like Docker, Kubernetes, Jenkins
• Experience in using popular MLOps frameworks like MLFlow, Kedro etc

• Knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc. and ability to understand tools used by data scientist

• Experience with AWS (or other) cloud services: EKS, RDS, Redshift, S3, Athena, Data Lake, Blob storage, Azure etc. is additive advantage
• Experience with data pipeline and workflow management tools: Prefect, Airflow etc.

• Experience developing new components in a scrum/agile environment

• Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to data scientists, engineering teams and business audiences.

Education

• Bachelor’s/ Master’s degree in Computer Applications/ Mathematics/ Pharma or a related field from a premium college

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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