Principal AI/ML Engineer

lilly

Bangalore 10 Years Exp Posted 41d ago

Key Responsibilities

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.

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.

Must Have:

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.

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

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

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.