AI Module Development Engineer – IoT & Digital Platforms

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

Job Purpose

To design, build, and integrate AI modules into IoT/IIoT and digital platforms by managing the full machine learning lifecycle — from model training to deployment — ensuring scalable and business‑aligned solutions.

Key Responsibilities

• AI Module Development & Integration – Design and build AI modules that integrate seamlessly into IoT/IIoT and digital platforms.
• Machine Learning Model Lifecycle – Develop, train, validate, and maintain ML models for predictive maintenance, anomaly detection, optimization, and risk scoring.
• System & Platform Integration – Work with APIs, data pipelines, and dashboards to integrate AI solutions into enterprise and industrial systems.
• Model Training – Prepare data, select algorithms, and train models with high accuracy and scalability.
• Production Deployment – Deploy, monitor, and optimize ML models in production environments (cloud and edge).
• Collaborate with cross‑functional product and engineering teams to ensure AI solutions meet business requirements.

Qualifications & Skills

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field.
• Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit‑Learn).
• Proven hands‑on experience in ML model training and production deployment.
• Solid understanding of IoT/IIoT platforms (AWS IoT, Azure IoT, or custom).
• Experience in data engineering & API integration.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).

Key Competencies

• End‑to‑end ownership of ML model lifecycle.
• Strong analytical and problem‑solving skills.
• Ability to bridge technical solutions with business impact.