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AI and Video Analytics Engineer

2 weeks ago

Karachi, Sindh, Pakistan HMS-Hussain Metal Stone Full time 900,000 - 1,200,000 per year

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.

*

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