Job Description

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

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  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