Description :

- Prior experience building, deploying and managing production-scale Computer Vision (CV) systems for enterprise customers using modern deep learning models and MLOps tools and deployed on cloud infrastructure (AWS/GCP/Azure).

- Has trained and deployed in production, computer vision models for use-cases like object detection, visual question answering, image classification, visual attribute extraction, text detection & extraction / OCR etc.

- Practical experience working on model optimization for high-performance/low-cost inference for cloud GPUs.

- Prior experience with multiple of the following: YOLO, TensorFlow, PyTorch, NVidia TensorRT, TAO Toolkit etc.

- Prior experience working on industrial AI use-cases using image/video analytics

- Practical experience managing team of ML Engineers / Data Scientists

- Prior experience with working on safety violation detection in hazardous work environments using images/video

- Prior experience with LLM Fine-tuning for image-based usecases, Google Vertex AI etc.

- Experience optimizing models for mobile/edge devices.

- Practical experience with transfer learning.