Advisor ML Engineering

Key Skills

AWS, Docker, Git, Github, Kubernetes-K8s, Machine learning techniques, MLOps tools, Python Programming, R Programming, Statistics

Job Description

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 35,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, 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.

Responsibilities

You will be part of a growing and dynamic team of business insights and analytics professionals whose main goal is to help our marketing, sales, finance, and business leadership partners achieve their business goals through data, reporting, and analytics. Advisor – ML Engineering is responsible for automating, deploying ML pipelines leveraging our cloud computing environment. This is a technical (research) path role and reports to the Associate VP of Data Science

Key Objectives

• Be a key contributor on moving code from on-prem analytic ecosystems to cloud pipelines
• Contribute to and help build automated QA checks and prediction drift pipelines.
• Stay up-to-date and share best practices in the ML Ops deployment space

Basic Qualifications

• Masters or PhD in Statistics, Engineering, Computer Science or other quant field
• Experience with deploying solutions in at least one cloud platform (AWS experience is preferred)
• Experience with deploying solutions leveraging containers (Docker, Kubernetes etc)
• Experience with code version control software (git / github)
• High proficiency with R or Python
• Experience working in a business facing environment
• Qualified candidates must be legally authorized to be employed in the United States. Lilly does not anticipate providing sponsorship for employment visa status (e.g., H-1B or TN status) for this employment position.

Additional Information

• 0-10% travel depending on business need

Additional Skills/Preferences

• Strong pharmaceutical data and modeling skills coupled with business acumen, and an ability to think strategically in an ambiguous environment
• Strong track record leading and delivering complex cross functional projects
• Proven ability to rally resources to achieve project and business results
• Deep understanding of financial and sales/marketing business principles
• Experience with commercial analytics practices and processes
• Experience with collaborating with remote/offshore teams
• High level of motivation and a strong desire to find creative solutions to challenging situations
• Strong proficiency with R, Python and SQL

Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. 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.

As a condition of employment with Eli Lilly and Company and its subsidiaries in the United States and Puerto Rico, you must be fully COVID-19 vaccinated and provide proof of vaccination satisfactory to the company (subject to applicable law).