AI Machine Learning Engineer

Eli Lilly - Indianapolis, IN

Full-time - Mid Level

Remote - Indianapolis, IN

Chemical Manufacturing

About the position

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. Come shape the future of our industry by bringing Artificial Intelligence capabilities to life! Digital Core Tech@Lilly is actively looking for an AI Machine Learning Engineer to spearhead our efforts in the development and deployment of machine learning models that enhance predictive analytics and decision-making across multiple processes and systems in pharma. Are you passionate about artificial intelligence and the impact it can have across an entire industry? Are you a change agent who can influence organizations? If so, bring YOUR skills and talents to Lilly where you'll have the chance to create an impact on the lives of patients!

Responsibilities

• Design, build, and implement state-of-the-art machine learning models to improve product offerings and operational efficiency.
• Lead the creation of sophisticated analytics frameworks to mine data sets, identify trends, and provide actionable insights.
• Continuously test, refine, and enhance the accuracy of machine learning models using robust methodologies.
• Work closely with product managers, software engineers, and business analysts to integrate machine learning models into broader tech and business strategies.
• Uphold high standards of integrity and compliance in the development and deployment of machine learning models.

Requirements

• Extensive experience developing, deploying, and maintaining machine learning models in a professional setting.
• A deep understanding of statistical analysis, probability theory, and data modeling techniques.
• Expertise in Python, R, or similar programming languages, and familiarity with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
• Ability to work with large data sets and proficient use of SQL and data manipulation tools.
• A strong team player with a proven track record of ethical decision-making and compliance in AI development.

Nice-to-haves

• Experience in working with AI technologies and tools, such as natural language processing (NLP), AI generation, machine learning algorithms, deep learning, etc.
• Advanced proficiency in programming languages such as Python, Java, R, C++, or JavaScript, and familiarity with AI libraries and frameworks like TensorFlow, PyTorch, Keras, 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.

Benefits

• Hybrid work model with remote work options within the US.
• Opportunities for professional development and career growth.
• Support for individuals with disabilities to engage in the workforce.