Technical Lead Engineer - Computer Vision

Company : Ellow Technologies

Job Type : Full Time

Pune City, Maharashtra

Number of Applicants

:

000+

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Job Description - Technical Lead Engineer - Computer Vision

Technical Lead Engineer - Computer Vision

The Role

We're looking for a Technical Lead who can own and drive our Computer Vision initiatives end -to -end. This is a hands -on leadership role, you'll be writing code, reviewing architectures, mentoring developers, and serving as the primary technical point of contact for our customers.

What You'll Do

Lead a team of Computer Vision developers, providing technical direction and mentorship
Architect, develop, and optimize CV algorithms and pipelines
Coordinate directly with customers to understand requirements, provide updates, and ensure delivery excellence
Oversee deployment of CV solutions on NVIDIA GPU infrastructure (A4500, L4, and similar) and Jetson edge devices (Orin, Xavier, and similar), Raspberry Pi, and similar devices.
Conduct code reviews and establish best practices for the team
Balance individual contribution with team leadership, we expect you to stay close to the code

What We're Looking For

5+ years of experience in Computer Vision, with at least 2 years in a lead or senior role
Strong proficiency in Python and deep learning frameworks (PyTorch, TensorRT, CUDA)
Hands -on experience with video analytics, object detection, tracking, segmentation, or recognition systems.
Experience in deploying computer vision pipelines in production.
Experience with NVIDIA Jetson platform (Orin, Xavier, or similar)
Familiarity with NVIDIA GPU deployment workflows (CUDA, TensorRT, DeepStream is a plus)
Experience managing or mentoring a team of 3+ developers
Strong communication skills, you'll be the face of our technical team to customers
Ability to context -switch between writing code and leading people

Nice to Have

Optimizing GStreamer, and DeepStream applications with CUDA and TensorRT.
Experience with model optimization, compression, and model quantization.
Background in ANPR, video analytics, or industrial vision systems
Exposure to Vision Language Models or generative AI and frameworks like vLLM, SGLang.

Why Adagrad?

Work on real -world, large -scale deployments impacting national infrastructure
Collaborate with a technically strong team passionate about Edge AI
Opportunity to shape how we build and deliver CV solutions with cutting edge technologies like GenAI.

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