Senior AI/ML Platform Engineer

Eli Lilly and Company; Indianapolis (IN); In loco; USD 69.000 - 165.000; Tempo pieno

Vantaggi offerti da questo lavoro

Company bonus

401(k)

Healthcare benefits

Descrizione del lavoro

Eli Lilly and Company is seeking a Principal AI/ML Engineer to design and build the engineering backbone for AI/ML systems supporting employer data, benefits administration, and partner integrations. You will collaborate with data scientists and cross‑functional teams to productionize models, orchestration frameworks, and scalable pipelines.

Primary responsibilities include deploying agentic AI platforms, building data pipelines, and ensuring secure, auditable systems in a regulated environment,

Competenze

• Master’s or Bachelor’s degree in a quantitative/technical field with production AI/ML experience.
• Strong Python and software engineering practices; production-grade systems.
• Experience with data pipelines, data engineering, and secure, auditable systems.
• Familiarity with cloud and tooling (Databricks, AWS/Azure) and CI/CD)

Mansioni

• Design and build AI/ML engineering backbones and agentic platforms for production.
• Develop end-to-end AI/ML pipelines from data ingestion to deployment and monitoring.
• Collaborate with data scientists to productionize prototypes and scale solutions.
• Ensure governance, HIPAA/PHI handling, and data-residency considerations.

Conoscenze

Python proficiency

Data engineering

Software engineering practices

Communication

Formazione

Master’s degree in Computer Science/Engineering/Data Science/Math/Statistics

Bachelor’s degree in Computer Science/Engineering/Data Science/Math/Statistics

Strumenti

Databricks

AWS

Azure

Containers (Docker)

Git

CI/CD

Descrizione del lavoro

Eli Lilly and Company is seeking a Principal AI/ML Engineer to design and build the engineering backbone for AI/ML systems supporting employer data, benefits administration, and partner integrations. You will collaborate with data scientists and cross‑functional teams to productionize models, orchestration frameworks, and scalable pipelines.

Primary responsibilities include deploying agentic AI platforms, building data pipelines, and ensuring secure, auditable systems in a regulated environment,