About the Company
Multi Recruit has partnered with a Pune-based company specializing in cutting-edge AI solutions for enterprises and SMBs. The company leverages expertise in Computer Vision, Natural Language Processing (NLP), and Machine Learning (ML) modeling to deliver scalable, practical, and accessible AI-driven applications.
About 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.
Responsibilities
- 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
Qualifications
- 5+ years of experience in Computer Vision, with at least 2 years in a lead or senior role
Required Skills
- 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
Preferred Skills
- 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
