Principle AI/ML Engineer

• Architect and deliver end-to-end AI initiatives—from problem framing, data exploration, model development, validation, to deployment and monitoring.
• Drive AI innovation through research, POCs, and technology exploration, leveraging existing banking data and infrastructure.
• Lead cross-functional and distributed teams to successfully manage medium to complex AI/ML and Gen AI projects.
• Collaborate closely with business stakeholders and technology teams to identify and capitalize on AI-driven opportunities improving efficiency, customer experience, and decision-making.
• Ensure AI solutions adhere to ethical standards, regulatory requirements, and governance frameworks, promoting model explainability and data privacy.
• Develop and deploy AI-powered automation, intelligent decision-making systems, predictive analytics, and autonomous agents.
• Mentor and upskill team members on AI/ML trends, frameworks, and best practices, fostering a culture of continuous learning.
• Manage integration of AI capabilities into existing platforms using APIs, Kubernetes/Docker, and cloud services (Azure/AWS).
• Lead root cause analysis using AI diagnostic tools, ensuring robust AI system operations with monitoring, alerting, and self-healing mechanisms.
• Maintain detailed technical documentation, ensuring compliance with SDLC, QA, and change management processes.
• Drive AI project delivery using intelligent project management and predictive planning methodologies.

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