Computer Vision

Job Description

We are seeking a talented Computer Vision Engineer to join our team and help us build advanced image processing and machine learning solutions. In this role, you will design, develop, and implement computer vision algorithms to solve real-world problems. You will work closely with a team of data scientists, software engineers, and product managers to bring cutting-edge vision technology to our products.

Key Responsibilities:

• Algorithm Development: Design and develop computer vision algorithms for tasks such as object detection, image classification, segmentation, and tracking.
• Data Collection & Preprocessing: Collect, preprocess, and label image data to build high-quality datasets, ensuring diversity and accuracy.
• Model Training & Evaluation: Train, validate, and fine-tune machine learning models for computer vision applications, using techniques such as CNNs, RNNs, and GANs.
• Performance Optimization: Optimize models and algorithms for efficient deployment on edge devices, mobile platforms, or cloud-based environments.
• Testing & Debugging: Perform testing and debugging to ensure models are robust, accurate, and scalable.
• Collaboration: Work closely with product teams to integrate computer vision models into applications and iterate on user feedback.
• Documentation: Document workflows, model parameters, and processes, ensuring reproducibility and transparency in development.

Requirements:

• Experience: 2+ years of experience in computer vision, machine learning, or a related field.
• Technical Skills:
  • Strong understanding of deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Proficiency in programming languages like Python and familiarity with OpenCV, scikit-learn, and similar libraries.
  • Knowledge of computer vision techniques, including convolutional neural networks (CNNs), image processing, and feature extraction.
  • Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for model training and deployment.
  • Experience with hardware acceleration (e.g., GPUs, TPUs) and deployment on edge devices is a plus.

Preferred Qualifications:

• Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
• Experience with real-time processing, augmented reality, or 3D vision.
• Knowledge of image annotation tools and data augmentation techniques.
• Published work in academic journals or patents related to computer vision is advantageous.

Soft Skills:

• Strong problem-solving and analytical skills.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• A collaborative mindset with the ability to work effectively in a team.
• High attention to detail and a proactive approach to learning.

Benefits:

• Competitive salary and performance bonuses.
• Health, dental, and vision insurance.
• Professional development opportunities, including access to conferences and training.
• Flexible working hours and remote work options.