AI Computer Vision Engineer

• Exploring complex algorithms for computer vision, image, and video processing
• Implement models that analyze faults, anomalies, segmentation, and classifications
• Develop predictive models to generate predictive insights
• Work on the deployment of dynamic models on cloud infrastructure, Kubernetes Engine, and as service REST APIs
• Continuously implement ML models with the software platform
• Integrate computer vision anomaly detection, classification, and segmentation models on multiple devices

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 3 - 4+ years of relevant industry experience in building and deploying Computer Vision-based ML/AI models in production environments
• Must be experienced in Python, PyTorch, Keras, Tensorflow, and Convolutional Neural Networks
• Track record with 3D visual modeling, Point Clouds, and building Computer Vision models for the point clouds is a plus
• Nice to have some experience in Mask RCNN, Geospatial data modeling, YOLO, Detectron 2, GCP, and Kubernetes
• Sound expertise in processing 3D image point clouds
• Prior experience in building models on virtual machines, Google Kubernetes, and compute engines