Product Leader : AI Products _ Director

Spectrum Talent Management; India; Hybrid; INR 15,00,000 - 25,00,000; Full time

Job summary

A leading talent management firm is seeking a Product Leader AI & Computer Vision in India to drive strategy and deployment of AI solutions. The ideal candidate will oversee product vision, manage cross-functional teams, and ensure optimal performance of AI models. Strong experience in engineering and AI product execution is essential for this role, along with skills in cloud infrastructure and computer vision technologies.

Qualifications

• Proven track record in AI product execution and leadership.
• Experience with computer vision technologies.
• Strong understanding of cloud infrastructure design.

Responsibilities

• Define and drive the product vision and roadmap for AI solutions.
• Lead the product lifecycle from conceptualization to deployment.
• Optimize AI model performance for edge devices.

Skills

End-to-end AI product execution

Engineering thought leadership

AI solution design

Computer Vision

Deep Learning

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Overview

We are looking for a Product Leader AI & Computer Vision to drive the strategy, development, and deployment of cutting-edge AI solutions. The ideal candidate will be a seasoned AI or Engineering leader, with a proven track record in at least two of the following areas:

• 1. End-to-end AI product execution for real-time, high-tech solutions.
• 2. Engineering thought leadership and hands-on execution, driving innovation and scalability.
• 3. AI solution design and implementation in the areas of Computer Vision & Deep Learning

Role & responsibilities

1. AI Product Strategy & Execution
   • Define and drive the product vision, roadmap, and execution strategy for AI-powered solutions, with a focus on computer vision technologies and real-time AI models.
   • Own key product KPIs, including model accuracy, latency, adoption rate, and computational efficiency for cloud/edge deployments.
   • Lead the end-to-end product lifecycle, from conceptualization and prototyping to large-scale deployment.
   • Ensure scalability, modularity, and reusability of AI & Engineering components across different use cases, by working closely with Engineering and AI scientist team.
   • Optimize AI model performance for edge devices, low-latency processing, and cloud-scale inference.
2. Product Engineering for Cloud and Edge deployments
   • AI Product Engineering & Scalable Architecture: Architect and optimize scalable AI/ML pipelines, ensuring low-latency, high-availability systems. Collaborate with AI/ML teams to integrate Computer Vision, Deep Learning, and Reinforcement Learning models into production systems.
   • Cloud Engineering & Infrastructure Design: design and implement highly scalable, distributed cloud infrastructure on Cloud (AWS, Azure, or GCP). Implement containerization (Docker, Kubernetes) and microservices architecture for AI-driven applications.
   • Edge Deployment & Optimization: AI model deployment on edge devices, ensuring efficiency in resource-constrained environments.
3. AI Solutioning & Technical Problem-Solving
   • Partner 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.
4. Client, Stakeholder & Cross functional team management
   • Serve as the key interface between technical teams and business stakeholders, ensuring alignment on AI product objectives.
   • Engage closely with clients, internal leaders, and cross-functional teams to gather insights and drive successful AI product development.