Computer Vision Engineer

About Bipolar Factory

Computer Vision Engineer

If you’re excited by deep learning, edge AI, real-time detection, and large-scale vision pipelines, this is your place.

Key Responsibilities

• Model Development

  : Design, train, and deploy computer vision models for tasks such as object detection, image segmentation, classification, and tracking.

• Pipeline Building

  : Build scalable, efficient, and production-ready vision pipelines using deep learning frameworks.

• Experimentation

  : Run experiments with state-of-the-art architectures (e.g., YOLO, Faster R-CNN, SAM, Vision Transformers), fine-tune pre-trained models, and benchmark performance.

• Data Handling

  : Work with large datasets—curate, augment, clean, and label image/video data for training and validation.

• Collaboration

  : Work closely with the AI team, product managers, and backend developers to integrate vision models into production systems.

• Research-Driven Engineering

  : Stay current with research trends and bring academic advancements into practical use cases.

• Optimization

  : Optimize models for real-time inference, edge devices, or low-resource environments.

What We’re Looking For

• 3–5 years of experience working in computer vision or AI engineering roles.
• Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
• Solid understanding of image processing, CNNs, and modern computer vision techniques.
• Experience with OpenCV and vision-based data preprocessing.
• Familiarity with model deployment frameworks (e.g., ONNX, TensorRT, FastAPI).
• Ability to write clean, modular, and well-documented code.
• Strong analytical skills and a mindset for experimentation.

Nice to Have

• Experience with video analytics, real-time processing, or edge deployment (e.g., Jetson, Raspberry Pi).
• Familiarity with generative models (GANs, Diffusion models).
• Contributions to open-source CV/ML projects or research publications.
• Experience with cloud-based training or deployment (AWS, GCP).

Why Join Bipolar Factory?

• Work on high-impact, experimental AI products from the ground up
• A fast-moving, low-hierarchy environment where your work is seen and valued
• Flexible schedules, creative freedom, and deep tech problems to solve
• A passionate team that thrives on innovation and iteration