Product Leader

15 hours ago

Delhi NCR, India Spectrum Talent Management Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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

  2. 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.

  3. Own key product KPIs, including model accuracy, latency, adoption rate, and computational efficiency for cloud/edge deployments.
  4. Lead the end-to-end product lifecycle, from conceptualization and prototyping to large-scale deployment.
  5. Ensure scalability, modularity, and reusability of AI & Engineering components across different use cases, by working closely with Engineering and AI scientist team .

  6. Optimize AI model performance for edge devices, low-latency processing, and cloud-scale inference.

  7. Product Engineering for Cloud and Edge deployments

  8. 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.

  9. Cloud Engineering & Infrastructure 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

  10. Edge Deployment & Optimization AI model deployment on edge devices, ensuring efficiency in resource-constrained environments.

  11. AI Solutioning & Technical Problem-Solving

  12. Partner with AI and engineering teams to define, train, and deploy computer vision models for real-time applications.

  13. Guide experimentation and model fine-tuning to improve object detection, tracking, segmentation, and classification tasks.
  14. 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).

  15. Work with data science teams to ensure high-quality labeled datasets, model explainability, and model stability.

  16. 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.

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