ML Engineer
1 month ago
We are seeking a highly skilled ML Engineer to join our team at Lilly, a global healthcare leader. As a key member of our Business Insights & Analytics team, you will be responsible for managing projects requiring ML Ops expertise across the commercial analytics continuum.
Key Responsibilities:
- Design and implement ML Ops pipelines for cloud and premise environments, ensuring seamless automation and CI/CD pipeline orchestration.
- Develop and deploy machine learning models, applying software engineering rigor and best practices to ensure high-quality and efficient solutions.
- Optimize model hyperparameters, evaluate and explain model performance, and ensure model onboarding, operations, and decommissioning workflows.
- Collaborate with diverse stakeholders to design and implement scalable MLOps frameworks, providing technical design solutions to support business needs.
- Measure and improve services, creating and using benchmarks, metrics, and monitoring to drive business impact.
Requirements:
- 4-8 years of experience in building ML/automation pipelines from scratch, with expertise in AWS components, Python, PySpark, and popular MLOps frameworks.
- Strong knowledge of data pipeline and workflow management tools, with experience in 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.
About Lilly:
Lilly is a global healthcare leader committed to making life better for people around the world. We unite caring with discovery to improve human health. Our 39,000 employees work together to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and contribute to the development of innovative healthcare solutions.
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