Computer Vision Engineer

Company Description

Computer Vision (CV)

Role Description

We are looking for a skilled and passionateComputer Vision Engineerwith2+ years of professional experienceto join our team. You will be responsible for designing, developing, and deploying robust computer vision and deep learning models for our products. This role is ideal for an engineer who is ready to take ownership of projects and contribute directly to production-ready systems.

Qualifications

• Experience:

  2+ years of professional experience

  working as a Computer Vision Engineer or Machine Learning Engineer with a focus on computer vision.

• Education:

  Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related quantitative field, or equivalent practical experience.

• Programming Expertise:

  Strong proficiency in

  Python

  and extensive experience with core computer vision libraries, primarily

  OpenCV

  .

• Deep Learning Frameworks:

  Hands-on experience with at least one major deep learning framework:

  PyTorch

  (preferred) or

  TensorFlow/Keras

  .

• Model Development:

  Proven experience developing, training, fine-tuning, and evaluating state-of-the-art computer vision models for real-world applications.

• Maturity:

  Experience taking a model from the research/prototype phase through to a production environment.

Bonus Considerations

• Experience with

  MLOps

  principles and tools for automated model deployment, scaling, and monitoring.
• Knowledge of

  containerization technologies

  such as

  Docker

  and orchestration tools like

  Kubernetes

  .
• Experience optimizing models for specific platforms, such as

  TensorRT

  ,

  ONNX

  , or mobile/edge frameworks.
• Experience utilizing cloud computing platforms (e.g., AWS, Azure, GCP) for model training and deployment.
• Strong understanding of performance metrics beyond simple accuracy, such as mAP, IoU, recall/precision trade-offs, and inference time.

Send your CVs to [HIDDEN TEXT]