Machine Learning Engineer (Full Stack)

Eli Lilly • Indianapolis, IN

436d • $142,500 - $228,800

About The Position

The Machine Learning Engineer (Full Stack) at Lilly is responsible for leading the development and deployment of machine learning models that enhance predictive analytics and decision-making across various pharmaceutical and marketing processes. This role involves designing, building, and implementing advanced ML/AI models, supporting data strategy and analytics, optimizing model performance, and ensuring compliance with ethical AI practices. The position offers an opportunity to significantly impact patients' lives through innovative solutions in healthcare.

Requirements

• PhD degree in statistics, engineering, computer science, mathematics, or a related field.
• 1+ years of experience in machine learning engineering or data science roles.
• 1+ years of experience with AI and machine learning algorithms including supervised and unsupervised learning, deep learning, neural networks, and natural language processing.

Nice To Haves

• Experience with AI technologies and tools, such as Natural Language Processing (NLP), Generative AI (GenAI), Foundation models, and Large Language Models.
• Advanced proficiency in programming languages such as Python, R, C++, or JavaScript, and familiarity with AI libraries and frameworks like PyTorch, Keras, TensorFlow, and Scikit-learn.
• Strong understanding of software development methodologies including Agile and Scrum, as well as expertise in version control systems like Git.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes, and familiarity with CI/CD pipeline setup and management.
• Knowledge of advanced machine learning and deep learning techniques and frameworks, including but not limited to supervised and unsupervised learning models, neural networks, GANs, autoencoders, and transformers.

Responsibilities

• Design, build, scale, and implement advanced ML/AI models using diverse data types/sources to enhance products and efficiency.
• Support the creation of analytics frameworks to mine data, identify trends, and provide actionable insights.
• Continuously test, refine, and improve model accuracy using robust methodologies, including A/B testing and AI observability metrics.
• Utilize tools like AWS, Azure, Google Cloud Platform, Docker, Kubernetes, Jenkins, and MLOps frameworks for end-to-end ML solutions.
• Work with data scientists, business analysts, and stakeholders to integrate ML models into broader strategies.
• Maintain high standards of integrity and compliance, adhering to ethical AI practices and regulatory requirements.

Benefits

• Eligibility to participate in a company-sponsored 401(k); pension; vacation benefits;
• Eligibility for medical, dental, vision and prescription drug benefits;
• Flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts);
• Life insurance and death benefits;
• Certain time off and leave of absence benefits;
• Well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Chemical Manufacturing
• Education Level: Ph.D. or professional degree
• Number of Employees: 10,001+ employees