AI Engineer

Technology Innovation Institute (TII) is a publicly funded research institute, based in Abu Dhabi, United Arab Emirates. It is home to a diverse community of leading scientists, engineers, mathematicians, and researchers from across the globe, transforming problems and roadblocks into pioneering research and technology prototypes that help move society ahead.

Job Description

The Directed Energy Research Center of the Technology and Innovation Institute is looking for an AI engineer to work as part of the Signals, Electronics, and Acoustics team.

Responsibilities

Under the supervision of a Principal Engineer and in collaboration with a multi-disciplinary engineering team, the AI Engineer develops and deploys machine learning models for anomaly detection applications, focusing on real-time monitoring systems and advanced pattern recognition algorithms using modern deep learning frameworks and cloud-based infrastructure.

Main Responsibilities Include

• Design, develop, and optimize ML models for anomaly detection on time series, sensor, and visual data.
• Work closely with the sensor development engineering team to ensure the sensor design helps the ML model performance
• Implement and maintain deep learning architectures for real-time anomaly detection.
• Work with engineers to integrate models into production systems that scale.
• Optimize model performance for edge and resource-constrained deployments.
• Document model architectures, training procedures, and deployment guidelines for knowledge transfer.
  
  

Skills Required For The Job

• Strong hands-on experience with ML/DL frameworks (PyTorch preferred)
• Strong programming skills in Python.
• Experience with anomaly detection techniques (autoencoders, clustering, semi-supervised methods).
• Experience deploying and running ML workloads on AWS.
• Technical expertise in computer vision for anomaly detection in images, audio, or RF.
• Experience with unsupervised and semi-supervised learning for unlabeled datasets.
• Experience in building or maintaining a dataset
  
  

Qualifications

• Bachelor’s or Master’s in AI, Data Science, Computer Science, Statistics, or related field.
• 3+ years of hands-on experience building and deploying ML models.
• Proven track record of implementing anomaly detection systems for real-world applications.
• Digital signal processing experience preferred
• Strong problem-solving skills with the ability to work independently and in a team.
• Effective communication and collaboration skills across teams.
  
  

At TII, we help society to overcome its biggest hurdles through a rigorous approach to scientific discovery and inquiry, using state-of-the-art facilities and collaboration with leading international institutions. Our rigorous discovery and inquiry-based approach helps to forge new and disruptive breakthroughs in advanced materials, autonomous robotics, cryptography, digital security, directed energy, quantum computing and secure systems.