Computer Vision Engineer - DHA Phase 6 - From 2PM to 10PM

Company: PCMCI Quantum
Location: DHA Phase 6, Karachi (Onsite)
Job Type: Full-Time
Experience Required: 0–2 Years

Job Timings: 2 pm to 10pm Monday to Friday

Introduction

At PCMCI Quantum, you’ll have the opportunity to be part of a visionary team that’s transforming AI-powered security solutions for the real world. Working on cutting-edge AI technology, make a real impact, and accelerate your career in a dynamic and fast-growing field.

Key Responsibilities

As a Computer Vision Engineer at PCMCI Quantum, you will be responsible for:

- Developing, training, and fine-tuning computer vision models for detecting people and firearms in video streams.
- Work with object detection models (e.g., YOLO, Faster R-CNN, SSD).
- Optimize models for real-time inference on RTSP streams.
- Improve detection accuracy while minimizing false positives.
- Collect, clean, annotate, and manage image and video datasets for object and person detection.
- Perform data augmentation (lighting, occlusion, angles, motion blur).
- Collaborate with backend engineers to integrate models into the production system.
- Evaluate model performance using metrics like precision, recall, mAP, and inference latency.
- Optimize models for deployment on GPU-based systems.
- Assist in converting models for optimized runtimes (e.g., TensorRT – optional).

Required Qualifications

We are looking for a MALE Candidate with:

- Bachelor’s degree (or final-year student) in Computer Science, AI, ML, Data Science, Electronics, or a related field.
- Strong fundamentals in Machine Learning and Deep Learning.
- Hands-on experience with Python.
- Experience with at least one deep learning framework: PyTorch (preferred) or TensorFlow.
- Understanding of Computer Vision concepts: Object detection, Bounding boxes, CNNs.
- Basic experience with OpenCV and image/video preprocessing.
- Familiarity with Linux environments.

Preferred / Good-to-Have Skills

It would be a bonus if you have:

- Experience with YOLO (v5/v8/v11) or similar detection frameworks.
- Exposure to RTSP video streams, FFmpeg, or GStreamer.
- Basic understanding of GPU acceleration (CUDA concepts).
- Experience working on academic or personal ML projects.
- Familiarity with Docker (not mandatory).

Bonus

Experience with video stream processing or multi-camera systems.

Why Join Us?

Work on real-world, impactful applications of AI and computer vision. Join a collaborative team at the forefront of intelligent systems development. Competitive salary and career growth opportunities

Job Type: Full-time

Application Question(s):

• Age?
• Current Salary?
• Expected Salary?
• Notice Period Details?
• Wiling to work in Second Shift ( 2pm to 10 pm )

Work Location: In person