Company: Adagrad AI ( Website)

Position: Technical Lead – Computer Vision

Location: Pune (Work from Office)

Role Type: Full time

Experience: 7 Years

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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 Role

We 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.

Required Skills & Experience

- 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.

Good to Have

- 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.
- Exposure to embedded or edge AI platforms.

Preferred Industry Background- Just Good to have, NOT the Must Have

Candidates from organizations working in:

- Computer Vision
- Video Analytics
- Edge AI
- Smart Surveillance
- Industrial Automation
- Robotics
- Intelligent Transportation Systems (ITS)
- AI Product Companies

Interview Process

1. Phone Screening
2. Technical Round 1 – Live Coding (Data Structures & Algorithms)
3. Technical Round 2 – Technical Discussion
4. Culture Round – Managing Director

Preferred Candidate Profile

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.

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