AI Engineer (Computer Vision | Machine Learning)

We are looking for an experienced Computer Vision Applied Machine Learning Engineer who is passionate about solving real-world problems with practical, production-ready machine learning solutions for one of our clients. You will research, design, develop, and deploy computer vision models while working across the full software development lifecycle to bring innovative solutions from concept to market.

Key Responsibilities:

• Research, design, develop, and train new machine learning models or adapt existing models for real-world applications.
• Design and develop software systems using sound engineering practices, scientific analysis, and mathematical models
• Build, maintain, and enhance machine learning applications and software
• Develop and execute software testing and validation procedures
• Debug, optimize, and improve existing software for performance, reliability, and compatibility
• Create and maintain technical documentation for developed solutions

Skills/Qualifications:

• Advanced degree in Computer Science, Statistics, Mathematics, or a related field, or an exceptional industry track record delivering successful projects
• 3–5 years of industry experience delivering successful Computer Vision solutions
• Strong understanding of: (a) Machine Learning (b) Statistics (c) Mathematics
• Strong programming skills in: (a) Python (b) Java or C/C++
• Hands-on experience with: (a) Image classification (b) Object detection (c) Object tracking (d) Image and video processing (e) Computer Vision tools
• Experience with machine learning frameworks such as: PyTorch, TensorFlow (or equivalent)
• Experience deploying or developing solutions for edge devices
• Experience with modern deep learning techniques for Computer Vision, including: (a) Convolutional Neural Networks (CNNs) (b) Residual Networks (ResNets) (c) Attention-based models
• Familiarity with: (a) End-to-end machine learning workflows (b) Cloud-based machine learning platforms (c) Software testing and debugging (including automated testing) (d) Relational databases (e) SQL
• Basic understanding of retail operations and environments
• Excellent written and verbal communication skills

Preferred qualifications:

• Experience with deep learning infrastructure