🛠 Tech Stack

💼 About This Role

You'll develop and deploy computer vision and deep learning models for production applications in large-scale real-world environments. You'll work across detection, tracking, and re-identification tasks to improve system decision-making and production readiness.

🎯 What You'll Do

• Develop and improve computer vision and deep learning models for production
• Work on detection, tracking, and re-identification related tasks
• Build reliable evaluation, benchmarking, and validation workflows
• Optimize model performance for real-world deployment environments
• Collaborate with backend, platform, and product teams to integrate AI capabilities

📋 Requirements

• Strong Python development skills with solid software engineering practices
• Hands-on experience with deep learning and computer vision
• Practical experience in object detection, multi-object tracking, or re-identification
• Experience exporting and validating models using ONNX or similar frameworks

✨ Nice to Have

• Experience with Vision-Language Models (VLMs)
• Video-based or multi-camera AI systems
• OpenVINO optimization and quantization (FP16/INT8)
• Real-world AI deployment in retail, manufacturing, or smart environments

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Screen· 60 min
3. 3On-site Interview· 180 min