Machine Learning Engineer (Full Stack)

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.

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location.  The anticipated wage for this position is

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 39,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease. We are looking for people who are determined to make life better for people around the world.

Organization Overview: Business Insights & Analytics (BI&A) is actively seeking a Machine Learning Full Stack Engineer to lead the development and deployment of machine learning models that enhance predictive analytics and decision-making across various pharmaceutical and marketing processes and systems. If you are enthusiastic about artificial intelligence and its potential to revolutionize the industry, and a change agent capable of influencing organizations, we invite you to bring your skills and talents to Lilly. Here, you will have the opportunity to make a significant impact on patients’ lives.

• Machine Learning Model Development: Design, build, scale, and implement advanced ML/ AI models using diverse data types/ sources (image, text, video, numeric) to enhance products and efficiency.
• Data Strategy and Analytics: Support the creation of analytics frameworks to mine data, identify trends, monitor and provide actionable insights.
• Model Optimization and Evaluation: Continuously test, refine, and improve model accuracy using robust methodologies, including A/B testing and AI observability metrics.
• Model Infrastructure: Utilize tools like AWS, Azure, GCP, Docker, Kubernetes, Jenkins, and MLOps frameworks for end-to-end ML solutions.
• Cross-Functional Collaboration: Work with data scientists, business analysts and stakeholders to integrate ML models into broader strategies.
• Ethics and Compliance in AI Development: Maintain high standards of integrity and compliance, adhering to ethical AI practices and regulatory requirements.

Success Factors:

• Problem Solving with Advanced Analytics: Use analytical skills and ML techniques to solve complex challenges and develop data-driven solutions.
• Technical Proficiency: Combine AI, ML, statistics, and data science knowledge with programming experience in Python and/or R.
• Adaptive Learning: Stay updated with the latest ML and data science advancements, adapting to new research, tools and methodologies.
• Proficient Coding Skills: Expertise in Python, R, or similar languages, and familiarity with ML libraries like scikit-learn, TensorFlow, or Torch.

Basic Qualifications:

• 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.

Preferred Qualifications:

• Experience with AI technologies and tools, such as Natural Language Processing (NLP), Generative AI (GenAI), Foundation models, Large Language Models, Machine Learning algorithms, Deep learning, etc., and delivering end-to-end solutions to business partners.
• 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, and the ability to design, train, and optimize these models.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women’s Network, Working and Living with Disabilities. Learn more about all of our groups.

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including 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; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

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