Description :

About Our Client :

I am recruiting for this open position with my client, a leading innovator in AI-powered video computing solutions, offering intelligent video management, analytics, and security solutions across industries. Our mission is to make the world smarter and safer through cutting-edge technology.

Who You'll Work With :

Youll work with the Engineering team focused on developing state-of-the-art video analytics solutions. Collaborating with AI researchers, youll optimize AI models to run efficiently on NVIDIA GPUs as well as Intel hardware.

What youll do :

- Develop Python modules to integrate AI/DL models into video surveillance products.

- Optimize and deploy AI models on edge devices using NVIDIA TensorRT and Intel OpenVINO toolkits.

- Build real-time video analytics pipelines for object detection, tracking, and behavioral analysis.

- Contribute to the full lifecycle of AI models data pre-processing, training, evaluation, deployment.

- Work on performance profiling, memory tuning, and parallelization strategies across different hardware accelerators.

- Ensure AI modules are robust, scalable, and production ready.

Key Responsibilities :

- Develop and maintain Python-based inference and analytics pipelines.

- Integrate models using TensorFlow, PyTorch, and OpenVINO for Intel-based edge devices.

- Utilize NVIDIA GPU acceleration (CUDA, TensorRT) for real-time inferencing.

- Benchmark and compare AI performance on different hardware configurations.

- Build utilities for model conversion (e.g., ONNX), quantization, and optimization.

- Collaborate across teams to deliver end-to-end AI solutions integrated into the software platform.

What we are looking for :

- 46 years of hands-on experience in Python and AI/ML projects.

- Experience with GPU-based acceleration using NVIDIA CUDA, TensorRT, and Intel OpenVINO.

- Solid understanding of DL model architectures (YOLO, SSD, ResNet, etc.).

- Proficiency in TensorFlow, PyTorch, and OpenCV.

- Familiarity with video/data processing, multithreading, and optimization techniques.

- Exposure to model conversion and deployment tools like ONNX.

- Good debugging, documentation, and communication skills.

Why Join Us ?

- Be part of an innovative company at the forefront of AI-driven video computing.

- Opportunity to work with top-tier partners and industry leaders.

- Competitive salary, performance incentives, and professional growth opportunities.

- Embark on an impactful journey, where you'll work on innovative products that enhance safety, efficiency, and sustainability, ultimately making a positive difference in society