Principal AI/ML Engineer

• 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.