AI/ML Engineer – Computer Vision

We are looking for a Deep Learning Engineer with strong expertise in Computer Vision to join our R&D team.
You’ll work on developing, training, and optimizing deep learning models for image recognition, detection, segmentation, and generation tasks, contributing to innovative AI-powered solutions in production environments.

🔹 Responsibilities:

• Research, develop, and train deep learning models (focus on Computer Vision).
• Design and implement model architectures for classification, detection, segmentation, and tracking.
• Experiment with CNNs, detectors, and style transfer techniques.
• Prepare, clean, and label datasets; evaluate data sufficiency for ML tasks.
• Deploy trained models into production environments.
• Collaborate with AI, backend, and design teams to integrate models into real products.
• Regular reports preparation for key stakeholders.

🔹 Required knowledge and skills:

• 3+ years of experience in deep learning model development & research (Computer Vision).
• Deep understanding of CNNs and popular detector architectures.
• Strong theoretical knowledge of machine learning and deep learning.
• Hands-on experience with:
  Python, NumPy, Pandas, scikit-learn, OpenCV, Docker, PyTorch.
• Experience in classification, detection, segmentation, and tracking tasks.
• Experience deploying models into production.

• Experience with dataset labeling and understanding data sufficiency for ML tasks

   

🔹 Will be a plus:

• Experience with 3D image generation or CAD-based AI tasks.
• Experience with image generation models (GANs, diffusion, etc.).
• Familiarity with MLOps pipelines or cloud deployment (AWS, GCP).
• Publications or research in Computer Vision field.