AI Vision Specialist

5 days ago

Karachi, Sindh, Pakistan beBeeMachineLearning Full time $80,000 - $120,000
Machine Learning Engineer Role

We are seeking an experienced Machine Learning and Computer Vision professional to join our team. The ideal candidate will have a proven track record of developing and deploying successful machine learning models and algorithms that solve complex real-world problems.

Key Responsibilities:

  1. Model Development: Design, develop, and optimize machine learning models, particularly in the field of computer vision, for tasks such as object detection, image segmentation, and facial recognition.
  2. Algorithm Implementation: Implement computer vision algorithms using frameworks such as OpenCV, TensorFlow, or PyTorch.
  3. Data Processing: Prepare and preprocess large datasets, including data augmentation and transformation techniques to enhance model performance.
  4. Model Evaluation: Evaluate model performance using various metrics and techniques, including cross-validation, to ensure high accuracy and robustness.
  5. Deployment: Deploy machine learning models in production environments, ensuring they are scalable, efficient, and reliable.
  6. Collaboration: Work closely with cross-functional teams to integrate models into products and systems, providing technical support and troubleshooting as needed.
Requirements
  1. Education: Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a related field.
  2. Experience: At least 3 years of experience in machine learning and computer vision, with a proven track record of developing and deploying successful models.
  3. Technical Skills:
    1. Proficiency in Python and experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch.
    2. Strong understanding of computer vision techniques and libraries like OpenCV.
    3. Experience with deep learning techniques, including convolutional neural networks (CNNs) and transfer learning.
    4. Familiarity with cloud platforms and experience deploying models in production environments.
  4. Soft Skills:
    1. Strong problem-solving abilities and analytical thinking.
    2. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
    3. Ability to work independently as well as in a collaborative team environment.

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