About the Role:
We’re looking for a hands-on Senior Computer Vision Engineer to design, optimize, and deploy real-time, production-grade vision solutions. You’ll work end-to-end from model development to deployment - while mentoring junior engineers and collaborating with cross-functional teams.
Key Responsibilities:
- Develop CV pipelines for detection, tracking, segmentation, OCR, pose estimation & anomaly detection
- Train, fine-tune, and deploy deep learning models for real-time applications
- Work with SOTA models (YOLO, Detectron2, Mask R-CNN, ViT, UNet, SAM, etc.)
- Optimize solutions for edge devices, embedded platforms & servers
- Process live video streams and ensure performance, scalability & quality
- Collaborate with hardware, firmware & backend teams
Required Skills & Qualifications:
- Bachelor’s or Master’s degree in Computer Science, AI/ML, Electronics, or a related field
- 2-3 years of hands-on experience in Computer Vision
- Strong Python skills and real-time video processing experience
- Experience with object detection, segmentation, OCR & pose estimation
- Model deployment on edge/server environments
- Familiarity with modern CV architectures and frameworks
Nice to Have:
- Multi-threaded or distributed systems experience
- Exposure to industrial/automation or real-time analytics