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Computer Vision Engineer (PyTorch/TensorRT) at flatgigs

, , Pakistan -

Full Time

Start Date

Immediate

Expiry Date

16 Apr, 26

Salary

0.0

Posted On

16 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Vision, Deep Learning, Python, PyTorch, OpenCV, NVIDIA TensorRT, Model Optimization, Quantization, Pruning, Software Engineering, Git, Testing, CI/CD, Multi-Object Tracking, Detection, Segmentation, Classification

Industry

Business Consulting and Services

Description

We are seeking a Computer Vision Engineer with strong software and AI fundamentals to build and deploy high-performance AI models. You will handle the full pipeline—from training detection and segmentation models to optimizing them for production using NVIDIA TensorRT and Docker. Core Responsibilities Model Training: Train and fine-tune models for Detection, Classification, and Segmentation (e.g., YOLO, ResNet, U-Net). Tracking: Implement Multi-Object Tracking (MOT) algorithms for complex video streams. Engineering: Write production-grade Python code with a focus on modularity and scalability. Deployment: Containerize applications using Docker for consistent deployment. 3+ years in CV/Deep Learning. Python, PyTorch, OpenCV. Strong preference for experience with NVIDIA TensorRT and model optimization (quantization/pruning). Solid grasp of software engineering principles (Git, testing, CI/CD). Can work on other non-vision AI implementations

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Responsibilities

The Computer Vision Engineer will train and fine-tune models for detection, classification, and segmentation, as well as implement multi-object tracking algorithms. They will also write production-grade Python code and containerize applications using Docker for deployment.