ML Engineer (Lead)

Responsibilities

● Lead design and deployment of computer vision models for applications like object detection, tracking, human activity analysis, and visual quality control.

● Build and optimise image and video data pipelines, ensuring robust data flow from sensors, cameras, and other sources.

● Architect real-time vision systems, focusing on latency, accuracy, and scalability for edge and cloud environments.

● Mentor and guide junior ML engineers, fostering a culture of high technical standards and collaborative problem-solving.

● Stay updated with cutting-edge computer vision research, evaluating and integrating new models (e.g., ViTs, SAM, Grounding DINO) into existing workflows.

● Work directly with clients and internal stakeholders on AI solutioning, PoCs, and consulting projects