AI ML Engineer

AI / Machine Learning Engineer

Location: Dubai, UAE (Hybrid or Remote)

Compensation: Open and competitive, with tax-efficient structure

Company Overview

A rapidly expanding, VC-backed technology business with a growing engineering footprint in the Middle East. The company is focused on developing intelligent platforms with global reach and is strengthening its AI capability to support continued product expansion.

Role Overview

You will join a compact, highly capable engineering team responsible for building and scaling AI-driven features across the platform. This role offers broad exposure across data, modelling, and deployment, with genuine ownership and influence over technical direction.

Key Responsibilities

• Build, train, and deploy machine-learning models supporting core products
• Work with large-scale and diverse datasets to deliver commercially valuable insights
• Design and maintain ML pipelines suitable for production use
• Collaborate with senior stakeholders on AI use cases and technical roadmap
• Enhance model monitoring, performance optimisation, and lifecycle management

Core Technologies

• Programming: Python, SQL
• Machine Learning: TensorFlow, PyTorch, scikit-learn; NLP frameworks advantageous
• Data & Pipelines: Pandas, Airflow; Kafka experience beneficial
• MLOps & DevOps: Docker, Kubernetes, CI/CD pipelines
• Cloud Platforms: AWS, Azure, or GCP
• Databases: PostgreSQL, NoSQL technologies

Candidate Profile

• Background working in start-ups, scale-ups, or VC-backed organisations
• Strong grounding in applied machine learning and data engineering
• Comfortable working autonomously in a fast-growth environment
• Commercially aware and able to align AI delivery with business outcomes

How to Apply

This opportunity suits engineers who enjoy ownership, pace, and visibility within venture-backed technology companies. To apply, submit your CV or LinkedIn profile, or contact us directly for a confidential discussion. All applications will be treated with discretion.