Director

3. AI Solutioning & Technical Problem-SolvingPartner with AI and engineering teams to define, train, and deploy computer vision models for real-time applications.Guide experimentation and model fine-tuning to improve object detection, tracking, segmentation, and classification tasks.Drive decisions on model architectures (CNNs, Vision Transformers, YOLO,Reinforcement learning etc.) and deployment strategies for cloud (AWS/GCP/Azure) and edge (NVIDIA Jetson, TPUs).Work with data science teams to ensure high-quality labeled datasets, model explainability, and model stability.Optimize AI pipelines for real-time inferencing, multi-camera vision processing, and computational efficiency.Balance experimentation and rapid delivery, ensuring faster time-to-market for AI innovations.
Technical Skills

Technical Acumen:

Strong understanding of computer vision models (CNNs, Vision Transformers, YOLO, TrackNet, etc.), data pipelines, and AI/ML deployment architecturesCloud & Edge AI Deployment: Experience in deploying AI models on cloud (AWS/GCP/Azure) and edge (Jetson, FPGAs, TPUs) environments, optimizing for latency and efficiency.Strategic Thinking & Solutioning: Ability to define AI-driven solutions for complex, open-ended problems.

Stakeholder & CXO Influence: Proven ability to engage and influence senior executives, business leaders, and technical teams.Agile Product Development: Experience with JIRA, Scrum, backlog grooming, and iterative development.Excellent Communication: Ability to articulate technical AI concepts to both technical and non-technical audiences.
Qualifications

Experience in AI Product Management: 13-16 years in product management, with a strong track record in AI/ML-powered solutions, real-time data products, or high-tech innovations.