Position: Technical Lead – Computer Vision
Location: Pune (Work from Office)
Experience: 7+ Years
About Adagrad AI
Adagrad AI is an AI-first technology company specializing in Computer Vision, Edge AI, and Video Analytics. The company develops intelligent vision solutions for real-world applications across industries such as smart surveillance, intelligent transportation, industrial automation, and public infrastructure. Their solutions leverage cutting-edge technologies, including NVIDIA GPUs and edge computing platforms, to deliver scalable, production-grade AI systems.
About the RoleWe are looking for a Technical Lead – Computer Vision who can own and drive our Computer Vision initiatives end-to-end. This is a hands-on leadership role where you'll be actively involved in coding, designing scalable architectures, mentoring developers, and acting as the primary technical point of contact for customers.
Key Responsibilities- Lead and mentor a team of Computer Vision engineers, providing technical guidance and architectural direction.
- Design, develop, and optimize Computer Vision algorithms and AI pipelines.
- Collaborate directly with customers to gather requirements, provide technical updates, and ensure successful project delivery.
- Deploy and optimize Computer Vision solutions on NVIDIA GPU infrastructure (A4500, L4, etc.) and edge devices such as NVIDIA Jetson (Orin, Xavier), Raspberry Pi, and similar platforms.
- Conduct code reviews and establish engineering best practices.
- Contribute hands-on to development while balancing technical leadership responsibilities.
- Drive performance optimization and production deployment of AI models.
- 7+ years of hands-on experience in Computer Vision, with at least 2 years in a Technical Lead or Senior role.
- Strong programming experience in Python.
- Hands-on expertise in PyTorch, CUDA, and TensorRT.
- Experience with Video Analytics, including object detection, tracking, segmentation, and recognition.
- Experience deploying Computer Vision pipelines into production environments.
- Hands-on experience with NVIDIA Jetson platforms (Orin, Xavier, or similar).
- Familiarity with NVIDIA GPU deployment workflows; DeepStream knowledge is an advantage.
- Experience leading or mentoring a team of 3+ engineers.
- Excellent communication and stakeholder management skills.
- Ability to balance hands-on coding with technical leadership responsibilities.
- Experience with C++.
- Hands-on experience with DeepStream and/or GStreamer.
- Experience in model optimization, compression, and quantization.
- Background in ANPR, intelligent video analytics, or industrial vision systems.
- Exposure to Vision Language Models (VLMs), Generative AI, vLLM, or SGLang.
- Experience working with embedded or edge AI platforms.
Candidates from organizations working in:
- Computer Vision
- Video Analytics
- Edge AI
- Smart Surveillance
- Industrial Automation
- Robotics
- Intelligent Transportation Systems (ITS)
- AI Product Companies
- Phone Screening
- Technical Round 1 (Live Coding – Data Structures & Algorithms)
- Technical Round 2 (Technical Discussion)
- Culture Round (Managing Director)
We are looking for a hands-on Technical Lead with deep expertise in Computer Vision, Python, CUDA, PyTorch, TensorRT, NVIDIA Jetson, and Video Analytics, who has successfully led engineering teams and delivered production-grade AI solutions. Experience with C++, DeepStream/GStreamer, or Edge AI deployments will be a strong advantage.
