Adagrad AI- Technical Lead ( Computer Vision )

Nexthire; Pune District; On-site; INR 3,800,000 - 7,000,000; Full time

Job summary

Adagrad AI in Pune invites a hands-on Technical Lead for Computer Vision to own end-to-end CV initiatives, mentor 3+ engineers, and drive production-ready AI solutions on NVIDIA GPU and edge infrastructure. The role requires 7+ years in CV, strong Python, PyTorch, CUDA, TensorRT, and DeepStream/GStreamer exposure, plus excellent stakeholder management and architecture design skills.

You'll balance coding with leadership, collaborate with customers, and optimize pipelines for deployment on Jetson

Qualifications

• 7+ years of hands-on Computer Vision experience with 2+ years in a tech lead/senior role.

Responsibilities

• Lead a team of Computer Vision engineers; provide architectural guidance.

Skills

Computer Vision

Python

PyTorch

CUDA

TensorRT

Video Analytics

NVIDIA Jetson

Leadership

Communication

Tools

GStreamer

DeepStream

Job description

Company: Adagrad AI

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 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).
• 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.
• Experience working with embedded or edge AI platforms.

Preferred Industry Background

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.