Computer Vision Engineer (PyTorch/TensorRT)

Flatgigs

India Remote permanent

Posted: January 16, 2026

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Quick Summary

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. This role requires expertise in Python programming, machine learning, and computer vision.

Required Skills

Python PyTorch TensorRT Docker Git Software Engineering Model Training Multi-Object Tracking Model Optimization

Job Description

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.

Requirements:
• 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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