Enable job alerts via email!

AI Module Development Engineer – IoT & Digital Platforms

Naffco

United Arab Emirates

On-site

AED 220,000 - 331,000

Full time

Today
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

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.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.