Principal AI/ML Engineer

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Path/Level: R4

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Note:u00A0 Roles are posted at the lowest level of a band, however, employees should search across all levels of the band to identify all opportunities.u00A0 Employees hired on banded positions (ex: P1-P3, R-path, B1-B3, etc.) transfer at their current level, despite the level indicated on the job posting. u00A0For example, if a P2 candidate is selected for a P1-P3 banded position, the candidate will remain a P2 in the new role.

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About the Technology at Lilly Organization:

Technology at Lilly builds and maintains capabilities using cutting edge technologies like most prominent tech companies. What differentiates Technology at Lilly is that we create new possibilities through tech to advance our purpose u2013 creating medicines that make life better for people around the world, like data driven drug discovery and connected clinical trials. We hire the best technology professionals from a variety of backgrounds, so they can bring an assortment of knowledge, skills, and diverse thinking to deliver innovative solutions in every area of the enterprise.

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About the Business Function:u00A0

The Technology at Lilly - Digital Office (DO) and Global Services (GS) team leads digitalization across organizations spanning the enterprise with Finance, Legal, Ethics & Compliance, Corporate Affairs and Human Resources as well delivers best-in-class ERP Solutions.u202Fu202F This team leverages technology and analytics to enable transformations across the enterprise.

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Global Service Technical Innovation (GSTI), sub-function within Global Services, established to serve the AI and Automation needs of areas mentioned above.

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Job Title: Principal u2013 AI/ML Engineer

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As a Principal/Sr Principal at R4 level, you will lead the design, development, and deployment of advanced AI/ML models and data solutions that drive strategic decision-making and operational efficiency across Lillyu2019s global services. You will collaborate with cross-functional teams to deliver scalable, secure, and compliant products, while mentoring junior and senior AI/ML engineers and contributing to innovation initiatives.

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Key Responsibilities

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• AI/ML Model Development: Build, train, and optimise models for predictive analytics, NLP, recommendation systems, and GenAI use cases.

• Designs: Ability to break down moderately complex problems to implement for increased business impact.

• Extracting insights from data and solving business problems using statistical analysis and ML.

• Data Engineering: Design and maintain robust data pipelines using AWS and modern lakehouse architecture.

• System Design & Integration: Lead the system design efforts and collaborate with architects & software engineers to integrate models into enterprise platforms.

• Development: Develop solutions with hands on development while collaborating with other peers and extended teams.

• Automation & DevOps: Implement CI/CD pipelines, automate workflows, and ensure model monitoring and retraining.

• Validation & Compliance: Author validation documents and ensure adherence to AI/ML system validation expectations.

• Innovation & Prototyping: Lead POCs and contribute to AI innovation spikes, including internal tools like Cortex.

• Mentorship & Collaboration: Guide junior engineers and collaborate with global business and IT teams.

• Continuous Improvements: Drives and enforces the team process improvements, ensuring others are brought along in understanding the benefits and tradeoffs.

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Basic Qualifications:

• M.S. in Computer Science, Data Science, Engineering with at least 8 years of hands on Design, Develop & Deployment experience (excluding internships) in the industry OR

• B.S. in one of the above fields with 10+ years of hands on Design, Develop & Deployment experience (excluding internships) in the industry, including SME experience in AI/ML engineering space.

• Deep understanding of machine learning models and experience with deploying models to solve business problems.

• Experience with GenAI and NLP applications.

• Strong proficiency in Python, R, Java experience with TensorFlow, PyTorch, Scikit-learn.

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Must Have:

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• Experience with cloud platforms (AWS, Azure, GCP) and data lakehouse architecture.

• Excellent communication skills, with an strong passion for data storytelling.

• Ability to communicate complex technical problems to non-technical audiences.

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Good to Have:

• Experience in delivering projects involving AI/ML frameworks and regulatory compliance.

• Familiarity with AI ethics, bias mitigation, and validation protocols for regulated systems.

• Expertise in data modelling, data visualization, statistical methods, and algorithm optimisation

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Additional Skills/Preferences:

• Internal or external consulting experience

• Agility and flexibility to work with very diverse problems and business partners

• Self-management skills with a focus on results for timely and accurate completion of competing deliverable
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Additional Information:

• When applying please attach or submit a link to your portfolio of work

• You will be on a hybrid work schedule in Bengaluru, India.

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Note: When applying internally for a position your current supervisor receives notification that you have applied to the position. We encourage employees to discuss the opportunity with their supervisor prior to applying.

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Lillyu00A0does 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.

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#WeAreLilly

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 () 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.

Lillyu00A0does 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.