Principal AI/ML Engineer

Lilly

Bengaluru, Karnataka, IndiaPRINCIPAL

HybridAIMLData Science

Job Description

Lead the design, development, and deployment of advanced AI/ML models.

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.

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.
Strong proficiency in Python, R, Java; experience with TensorFlow, PyTorch, Scikit-learn.
Excellent communication skills, with an strong passion for data storytelling.
Ability to communicate complex technical problems to non-technical audiences.
Familiarity with AI ethics, bias mitigation, and validation protocols for regulated systems.
Expertise in data modelling, data visualization, statistical methods, and algorithm optimisation
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
When applying please attach or submit a link to your portfolio of work
You will be on a hybrid work schedule in Bengaluru, India.