Computer Vision Engineer

Responsibilities :

• Develop and optimize computer vision models for tasks like object detection, image segmentation, and multi-object tracking.
• Lead research on novel techniques using deep learning frameworks (TensorFlow, PyTorch, JAX).
• Build efficient computer vision pipelines and optimize models for real-time performance.
• Deploy models using microservices (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure).
• Lead MLOps practices, including CI / CD pipelines, model versioning, and training optimizations.
• Required Skills :
• Expert in Python, OpenCV, NumPy, and deep learning architectures (e.g., ViTs, YOLO, Mask R-CNN).
• Strong knowledge in computer vision fundamentals, including feature extraction and multi-view geometry with experience in deploying and optimizing models with TensorRT, Open VINO, and cloud / edge solutions.
• Proficient with MLOps tools (MLflow, DVC), CI / CD, and distributed training frameworks.
• Experience in 3D vision, AR / VR, or LiDAR processing is a plus.

Nice to Have :

Skills Required

Opencv, Pytorch