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Michael Page

AI Engineer

Michael Page
United Arab Emirates · Full-time · Entry
  • Drive AI led transformation across diverse industries in a leading holding group
  • Build & scale AI solutions that power smarter decisions, products, and services

About Our Client

A diversified holding group headquartered in Kuwait

Job Description

  • Design and implement end-to-end AI/ML solutions, from data exploration to production deployment.
  • Collaborate with product, engineering, and business stakeholders to translate requirements into AI-powered features.
  • Build scalable ML pipelines and deploy models into production environments.
  • Optimise model performance, scalability, and cost efficiency across multiple use cases.
  • Ensure reproducibility, monitoring, and retraining for production-grade AI solutions.
  • Stay ahead of AI trends and recommend innovative approaches to strengthen the group's digital agenda.

The Successful Applicant

  • Bachelor's/Master's in Computer Science, Data Science, Engineering, or related field.
  • 3 to 6 years' experience in AI/ML engineering, with proven ability to bring models into production.
  • Experience working on AI applications in one or more of: retail, logistics, finance, or real estate.
  • Strong Python skills and knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Hands-on experience with MLOps tools and cloud platforms (AWS, Azure, GCP).
  • Understanding of APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines.

What's on Offer

  • Exciting technical AI role at the heart of a diversified holding group's digital transformation.
  • Exposure to cross-industry AI challenges and opportunities.

Contact: Manpreet Kaur

Quote job ref: JN-072025-6786337

Key Skills

Ranked by relevance

ai tensorflow pytorch python cloud mlops cicd aws
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Country Guide

United Arab Emirates

Tax-friendly regional tech hub

Posted
Aug 19, 2025
Type
Full-time
Level
Entry
Location
United Arab Emirates
Company
Michael Page

Industries

Staffing Recruiting

Categories

Engineering Information Technology

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