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Position: Associate Director - AI Machine Learning Engineer
Institution: Eli Lilly and Company
Location: Indianapolis, Indiana, United States
Duties: Machine Learning Model Development: Design, build, and implement state-of-the-art machine learning models to improve product offerings and operational efficiency. Utilize a variety of data sources and machine learning algorithms to create scalable solutions for complex problems; Data Strategy and Analytics: Lead the creation of sophisticated analytics frameworks to mine data sets, identify trends, and provide actionable insights. Collaborate with data engineers and scientists to refine data collection and preprocessing techniques; Model Optimization and Evaluation: Continuously test, refine, and enhance the accuracy of machine learning models using robust methodologies. Implement A/B testing frameworks to compare model performances and optimize based on specific KPIs
Requirements: Master’s degree in computer science, engineering, mathematics, or a related field; 2+ years of experience in machine learning or data science roles; Experience with AI and machine learning technologies including supervised and unsupervised learning, deep learning, and neural networks
   
Text: Associate Director - AI Machine Learning Engineer Machine Learning Model Development: Design, build, and implement state-of-the-art machine learning models to improve product offerings and operational efficiency. Utilize a variety of data sources and machine learning algorithms to create scalable solutions for complex problems; Data Strategy and Analytics: Lead the creation of sophisticated analytics frameworks to mine data sets, identify trends, and provide actionable insights. Collaborate with data engineers and scientists to refine data collection and preprocessing techniques; Model Optimization and Evaluation: Continuously test, refine, and enhance the accuracy of machine learning models using robust methodologies. Implement A/B testing frameworks to compare model performances and optimize based on specific KPIs Master’s degree in computer science, engineering, mathematics, or a related field; 2+ years of experience in machine learning or data science roles; Experience with AI and machine learning technologies including supervised and unsupervised learning, deep learning, and neural networks
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