Note: The job is a remote job and is open to candidates in USA. Zifcare is seeking an experienced Computer Vision Applied Machine Learning Engineer who is passionate about solving real-world problems with practical, production-ready machine learning solutions. The role involves researching, designing, developing, and deploying computer vision models while working across the full software development lifecycle.
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
- 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
- Experience with deep learning infrastructure
Company Overview