AI & IoT ML Engineer: Edge & Cloud Deployments

Naffco; United Arab Emirates; On-site; AED 220,000 - 331,000; Full time

Job summary

A technology solutions company in the United Arab Emirates is seeking an experienced professional to design, build, and integrate AI modules into IoT/IIoT and digital platforms. This role involves managing the machine learning lifecycle, including model training and deployment. The ideal candidate will have a relevant degree and strong expertise in AI/ML frameworks, with hands-on experience in ML model training and production deployment. This position offers opportunities for collaboration across functional teams.

Qualifications

• Bachelor’s or Master’s degree in a related field is required.
• Strong expertise in AI/ML frameworks is essential.
• Proven experience in ML model training and deployment is needed.
• Solid understanding of IoT/IIoT platforms is important.
• Experience in data engineering and API integration is required.
• Familiarity with cloud platforms and containerization is preferred.

Responsibilities

• Design and build AI modules for IoT/IIoT and digital platforms.
• Develop, train, validate, and maintain ML models.
• Integrate AI solutions into enterprise and industrial systems.
• Deploy, monitor, and optimize ML models in production.
• Collaborate with cross-functional teams to meet business requirements.

Skills

AI/ML frameworks

Machine Learning model training

Production deployment

Data engineering

API integration

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML

Tools

TensorFlow

PyTorch

Scikit-Learn

AWS IoT

Azure IoT

Docker

Kubernetes

Job description

A technology solutions company in the United Arab Emirates is seeking an experienced professional to design, build, and integrate AI modules into IoT/IIoT and digital platforms. This role involves managing the machine learning lifecycle, including model training and deployment. The ideal candidate will have a relevant degree and strong expertise in AI/ML frameworks, with hands-on experience in ML model training and production deployment. This position offers opportunities for collaboration across functional teams.