Description

Lead the design, development, and implementation of AI/ML, Generative AI (Gen AI), and Agentic AI solutions.

Responsibilities

• Own the end-to-end delivery of AI initiatives, covering problem framing, data exploration, model development, validation, deployment, and monitoring.
• Drive innovation by conducting Proofs of Concept (POCs) using existing data and infrastructures to evaluate new AI technologies.
• Translate complex business requirements into functional specifications aligned with AI/ML models and automation strategies.
• Provide functional and technical leadership across AI domains, ensuring models are explainable, ethical, and meet governance requirements.
• Oversee the transition of AI solutions to production by embedding monitoring, alerting, and self-healing capabilities.

Required Skills

• 18+ years of experience in AI/ML engineering leadership.
• Expert proficiency in Python and ML Frameworks (Tensorflow, Pytorch, Scikit-learn).
• Hands-on experience with Large Language Models (LLMs).
• Experience deploying solutions on cloud platforms, specifically Azure and AWS.
• Competency in containerization using Kubernetes/Docker.
• Proficiency in SQL for data handling and exploration.
• Demonstrated ability to lead cross-functional, distributed teams.
• Experience in applying AI for operational optimization and predictive insights.
• Knowledge of API architecture and data lineage for secure integration.

Key Skills

Education

Any Graduate