Position Details
About this role
This role involves operationalizing AI and scientific tools within Lilly’s Data Foundry to enable AI-native drug discovery. The engineer will build deployment pipelines, APIs, and observability systems for scalable scientific AI applications.
Key Responsibilities
- Build ML deployment pipelines
- Develop APIs for scientific tools
- Ensure system observability
- Operationalize AI models
- Support scalable AI infrastructure
Technical Overview
The position requires expertise in MLOps, ML deployment pipelines, API development, and data connectivity within a scientific research environment, focusing on AI-driven drug discovery platforms.
Ideal Candidate
The ideal candidate is an experienced engineer with expertise in MLOps, machine learning deployment, and scientific data platforms. They should have a strong background in building scalable AI infrastructure for drug discovery and research environments.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with MLOps or ML deployment, No background in scientific software or AI research, Familiarity only with general software engineering
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