Computer Vision Engineer (Deep Learning)

Role overview Build computer vision pipelines for detection, tracking, and human-robot interaction. The work combines deep learning model development with practical optimization for edge deployment, supported by robust data and evaluation workflows.

Responsibilities - Train and improve convolutional neural network models for computer vision tasks. - Optimize models for deployment on edge devices, including techniques such as quantization and pruning. - Develop reliable data pipelines for model training and evaluation. - Collaborate on machine learning operations and continuous training processes. - Contribute to detection, tracking, and human-robot interaction capabilities.

Requirements - Professional experience with deep learning frameworks such as PyTorch or TensorFlow. - Strong Python engineering skills. - Practical knowledge of model optimization, including quantization or pruning. - Ability to build and evaluate data pipelines for machine learning systems.

Benefits and work setup Full-time position based in Dhaka or remote.