About The Role
We are looking for a
Computer Vision / Machine Learning Engineer to join a fast-growing, product-driven team working on real-world AI applications.
This role focuses on building and optimizing
lightweight visual models for production environments, with strong emphasis on performance, efficiency, and deployment.
What You'll Do
- Model Selection Choose the most suitable approaches (traditional algorithms vs. deep learning) based on real-world use cases and constraints
- Performance Optimization Optimize models by balancing accuracy, latency, memory, and power consumption
- Model Training & Compression Train and optimize lightweight models using techniques such as quantization, pruning, and knowledge distillation
- Deployment & Optimization Deploy models to production environments (mobile/edge), ensuring low latency and high efficiency
- End-to-End Ownership Drive the full lifecycle from data analysis model development optimization deployment
- Application Performance Improve overall application responsiveness and resource usage to ensure smooth user experience
Requirements
Education
- Bachelor's degree with 3+ years of experience, OR
- Master's degree with 1+ year of experience, OR
- PhD in a related field
Technical Skills
- Strong foundation in Computer Vision and Machine Learning
- Experience with model optimization for production (latency, memory, power trade-offs)
- Hands-on experience with lightweight model deployment (e.g., ONNX, TFLite, CoreML)
- Experience with model compression techniques (quantization, pruning, distillation)
- Solid programming skills (Python + ML frameworks such as PyTorch or TensorFlow)
Experience
- Experience building and deploying models in real-world production environments
- Familiar with edge/mobile AI scenarios or performance-constrained systems
Soft Skills
- Strong problem-solving ability and ownership mindset
- Comfortable working in a fast-paced, high-growth environment
- Able to independently drive projects end-to-end
Nice to Have
- Experience with mobile/edge deployment (iOS / Android)
- Experience optimizing models for real-time applications
- Background in performance-critical systems
