Senior AI/ML Engineer for Pharma Analytics (Hybrid)

Eli Lilly and Company; Indianapolis (IN); Hybrid; USD 90,000 - 115,000; Full time

Benefits offered by this job

Hybrid work model

Opportunities for professional development

Job summary

Eli Lilly and Company is looking for an experienced AI Machine Learning Engineer to lead developmental efforts in machine learning models that enhance predictive analytics across pharmaceutical processes. This role emphasizes collaboration with cross-functional teams to implement machine learning strategies effectively.

Ideal candidates will possess a Master’s degree, with 2+ years of machine learning experience, and strong coding proficiency in Python or R. The position offers a hybrid work model, primarily located in Indianapolis, Indiana.

Qualifications

• Extensive experience developing, deploying, and maintaining machine learning models.
• Familiarity with neural networks, regression models, clustering, and decision tree algorithms.
• Proficient in Python, R, and machine learning libraries.

Responsibilities

• Design, build, and implement machine learning models to improve operational efficiency.
• Lead data analytics frameworks to mine datasets and provide insightful trends.
• Work with cross-functional teams to integrate machine learning into broader strategies.

Skills

Machine Learning Model Development

Data Strategy and Analytics

Model Optimization and Evaluation

Technical Proficiency in Python/R

Strong Statistical Background

Effective Communication

Education

Master’s degree in computer science, engineering, mathematics, or a related field

Tools

Python

R

TensorFlow

Keras

SQL

Docker

Job description

Eli Lilly and Company is looking for an experienced AI Machine Learning Engineer to lead developmental efforts in machine learning models that enhance predictive analytics across pharmaceutical processes. This role emphasizes collaboration with cross-functional teams to implement machine learning strategies effectively.

Ideal candidates will possess a Master’s degree, with 2+ years of machine learning experience, and strong coding proficiency in Python or R. The position offers a hybrid work model, primarily located in Indianapolis, Indiana.