Lead AI Engineer – Video Safety & Real-Time Analytics

UMATR; Al Khobar; On-site; SAR 500,000 - 900,000; Full time

Job summary

UMATR is seeking a Principal AI Engineer to own the AI and perception stack for an AI-driven safety platform used in large-scale industrial environments. You will stay hands-on while setting architecture and solving advanced computer vision and multimodal AI challenges, influencing engineering direction.

The role centers on video-centric product development, including edge deployment, real-time systems and responsible AI with strong focus on performance, latency and safety controls.

Qualifications

• Proven experience taking multiple production ML or computer vision systems from concept through to live operation.
• Deep hands-on experience with video, streaming, analytics or computer vision over video.
• Experience with PyTorch or TensorFlow across detection, segmentation, tracking and video understanding.
• Production experience with vision-language or multimodal models, including evaluation and integration.
• Experience building agentic AI or tool-using systems with guardrails and human-in-the-loop controls.
• Strong dataset curation, fine-tuning, active learning and experiment management.

Responsibilities

• Own the technical direction of the computer vision and perception stack.
• Design and build production systems for object detection, segmentation, tracking and video understanding.
• Develop multimodal and vision-language systems that reason over live and recorded video.
• Build AI agents capable of reasoning over visual data using tools and APIs in controlled workflows.
• Own the full model lifecycle from problem definition to deployment, monitoring and improvement.
• Optimize models across edge and cloud, balancing accuracy, latency and cost.
• Establish responsible AI and safety controls including thresholds and auditability.
• Lead architecture reviews and document key technical decisions.

Skills

Production ML / Computer Vision

Video understanding

PyTorch / TensorFlow

Vision-language / Multimodal models

Agentic AI / Tool-using systems

Data curation / Active learning

Edge & cloud deployment

MLOps / Experiment tracking

English communication

Architecture design

Job description

UMATR is seeking a Principal AI Engineer to own the AI and perception stack for an AI-driven safety platform used in large-scale industrial environments. You will stay hands-on while setting architecture and solving advanced computer vision and multimodal AI challenges, influencing engineering direction.

The role centers on video-centric product development, including edge deployment, real-time systems and responsible AI with strong focus on performance, latency and safety controls.