Senior AI Engineer

1.Proven Experience with Vision Models: Extensive experience in developing applications using open-source computer vision models. In depth knowledge of convolutional neural networks and finetuning is a must. Experience with advanced digital image processing is a plus point.

• Must have excellent knowledge of object detection, image classification, semantic segmentation, and basic video processing. This includes the common solution architectures (e.g. YOLO, SAM, etc.) and solution pipelines.
• Must have experience with preprocessing techniques (such as denoising).
• Must have basic knowledge of diffusion-based image models.
• Must be familiar with at least multispectral images.

2.Mastery of Python: Advanced skills in Python programming, essential for building and deploying AI-driven applications. Proficiency in async programming, understanding of design patterns, and advanced data structures.

3.Mass Data Management: Must be proficient in dealing with high volumes of data (10+ GiBs - 2 TiBs).

4.Deployment Frameworks: Experience with TorchServe, TensorRT, etc.

5.Cloud Platforms: Proficiency in utilizing GPU cloud providers for running AI workloads.

6.Collaborative Tools and Version Control: Familiarity with collaborative development environments and tools such as Git, Docker, and version control systems to manage versions and streamline deployments.