Lead AI projects (Computer Vision / ML) from kick-off to delivery - planning milestones, managing risks, and keeping clients aligned along the way.

Provide timely and high-quality annotations of images that will be used for training computer vision algorithms. Work closely with data engineers in the tasks of creating datasets for training neural networks.

Become the hub of the company's operational coordination and help us build new partnerships and find new opportunities for growth.

Design and build data-driven and machine-learning capabilities. Work with Product, Engineering, and domain experts to translate business questions into analytically sound agentic solutions.

Ensure the full data lifecycle: from strategic project planning to quality assurance and validation of final deliverables.

Build the performance-critical core of our real-time computer vision pipeline. Own the runtime beneath the CV engines - shared-memory frame pools, zero-copy IPC, and process orchestration.