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Machine Learning Engineer / Computer Vision Expert

Machine Learning Engineer / Computer Vision Expert

IntercraftsolIslamabad, Islamabad Capital Territory, Pakistan
16 days ago
Job description

Machine Learning Engineer / Computer Vision Expert

Role Overview

We are looking for a Machine Learning Engineer / Computer Vision Expert who is proficient in developing, training, and optimizing object detection and image recognition models . The ideal candidate will have strong expertise in deep learning frameworks and practical experience deploying models for production use.

You’ll be working on exciting projects involving real-time video analytics, automated visual inspection, and intelligent image processing pipelines .

Key Responsibilities

  • Design, develop, and deploy object detection and image classification models using state-of-the-art deep learning techniques.
  • Perform data preprocessing, augmentation, and annotation to improve model performance.
  • Train, fine-tune, and evaluate models using frameworks such as TensorFlow, PyTorch, or OpenCV .
  • Work with datasets from various sensors and camera systems , ensuring scalability and robustness.
  • Develop automated training pipelines and maintain reproducible experiments.
  • Collaborate with backend and frontend teams to integrate AI models into production environments.
  • Research and experiment with emerging trends in Computer Vision such as YOLOv8, DETR, Segment Anything, and Vision Transformers (ViT).
  • Prepare technical documentation , maintain version control, and ensure best practices in ML lifecycle management.

Required Skills and Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  • 3–5 years of hands-on experience in Computer Vision and Machine Learning.
  • Strong proficiency in Python and libraries such as NumPy, Pandas, and Scikit-learn.
  • Expertise in deep learning frameworks : TensorFlow, PyTorch, or Keras.
  • Solid experience with object detection architectures (YOLO, Faster R-CNN, SSD, Mask R-CNN, etc.).
  • Experience with image and video processing tools (OpenCV, Pillow, etc.).
  • Understanding of data annotation tools and dataset management pipelines .
  • Familiarity with MLOps tools (MLflow, DVC, Docker, etc.) is a plus.
  • Experience deploying models on cloud platforms (AWS, Azure, or GCP) is preferred.
  • Strong analytical, problem-solving, and communication skills.
  • Preferred Qualifications

  • Experience with Edge AI and deploying models on embedded systems or mobile devices.
  • Familiarity with real-time video processing and streaming data pipelines .
  • Contribution to open-source computer vision projects or research publications.
  • #J-18808-Ljbffr

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    Computer Vision Engineer • Islamabad, Islamabad Capital Territory, Pakistan

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