Computer Vision Engineer

We are looking for a skilled Computer Vision Engineer with over 2 years of hands-on experience in developing deep learning models, with practical knowledge in designing, training, and deploying end-to-end computer vision solutions for real-world applications. As a key member of our AI team, you will be responsible for building and optimizing image and video analysis systems, while collaborating with cross-functional teams to integrate models into production-ready environments and contribute to the development of scalable, AI-driven applications.

Roles & Responsibilities:

• Design and develop computer vision models for image and video analysis tasks.
• Proficiency in Python and libraries such as OpenCV, NumPy, and scikit-learn.
• Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Practical knowledge of open-source models (e.g., Hugging Face Transformers), with experience in model training, testing, and fine-tuning for deployment.
• Exposure to Generative AI models such as GANs, VAEs, or diffusion models.
• Collaborate with the team to integrate and deploy models into production-ready applications.

Requirements:

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 2 years of hands-on experience in computer vision and deep learning.
• Strong understanding of ML/DL concepts and experience implementing real-world CV models.
• Familiarity with Hugging Face Transformers and open-source model fine-tuning workflows.