AI and Video Analytics Engineer

Role Overview

We’re hiring an AI and Video Analytics Engineer with 3–4 years of hands-on experience in computer vision and deep learning. You’ll design and deploy vision-based systems that analyze real-time video feeds — detecting objects, identifying patterns, and delivering actionable intelligence.

This role combines algorithmic design, real-time processing, and system-level engineering — perfect for someone who’s ready to go from “implementer” to “solution owner.”

Key Responsibilities

• Develop and deploy AI-powered video analytics models for detection, classification, and event recognition.
• Build scalable video processing pipelines using OpenCV, PyTorch, TensorFlow, and DeepStream.
• Work on edge deployments (Jetson, Raspberry Pi, etc.) and optimize inference for low-latency environments.
• Integrate models into production systems using GStreamer, Flask/FastAPI, or custom C++ backends.
• Collaborate with backend and cloud teams for API integrations and real-time dashboards.
• Participate in model tuning, dataset curation, and annotation workflows.
• Stay updated with emerging research in vision transformers (ViT), multi-object tracking, and multimodal AI.

Requirements

• 3–4 years of experience in AI / Computer Vision / Deep Learning.
• Strong command of Python and one or more frameworks like PyTorch, TensorFlow, or Keras.
• Experience with OpenCV, NumPy, and video stream processing.
• Practical exposure to DeepStream, TensorRT, or GStreamer is highly preferred.
• Working knowledge of Docker, REST APIs, and cloud environments (AWS / GCP / Azure).
• Understanding of object tracking (SORT, DeepSORT) and action recognition.
• Good grasp of performance optimization and GPU acceleration.
• Bonus points for:
• Experience with Re-ID, heatmaps, or anomaly detection.
• Familiarity with speech-to-video synchronization or audio analytics.

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What We Offer

• Competitive market-based salary.
• Cutting-edge AI projects with measurable, real-world deployment.
• Collaborative R&D culture — not bureaucracy.
• Growth pathways into Lead AI Engineer / R&D Specialist roles.

Job Type: Full-time

Experience:

• Video Analytics: 3 years (Required)

Location:

• Karachi (Required)

Work Location: In person