Senior AI & ML Engineer — Hybrid + Equity

IntelSQ; Dubai; Hybrid; AED 180,000 - 320,000; Full time

Benefits offered by this job

Equity participation

Flexible hybrid work

Medical insurance for you and depend–n

Wellness allowance

Relocation support and UAE visa

Job summary

IntelSQ seeks an experienced ML/AI engineer to design and deploy real-time inference pipelines powering the ISQ ONE platform in Dubai. You will prototype models for safety, facility, quality, and mobility domains, and work with product and engineering to translate business problems into AI solutions.

You will maintain monitoring and retraining workflows and clearly document model architectures for stakeholders across technical and non-technical teams.

Qualifications

• 5+ years of applied ML/AI experience in production environments.
• Strong Python proficiency (PyTorch or TensorFlow, scikit-learn, FastAPI).
• Experience with NLP, time-series forecasting, or computer vision.
• Familiarity with MLOps tooling (MLflow, Kubeflow, or similar).
• Excellent communication skills - able to explain model decisions to enterprise clients.

Responsibilities

• Research, prototype, and productionise ML models for safety, facility, quality, and mobility domains.
• Build real-time inference pipelines integrated into the ISQ ONE platform.
• Collaborate with product and engineering to translate business problems into AI solutions.
• Maintain model monitoring, drift detection, and continuous retraining workflows.
• Document model architectures and present findings to technical and non-technical stakeholders.

Skills

Python

Applied ML/AI

NLP

Time-series forecasting

Computer vision

MLOps

Communication

Tools

PyTorch

TensorFlow

scikit-learn

FastAPI

MLflow

Kubeflow

Job description

IntelSQ seeks an experienced ML/AI engineer to design and deploy real-time inference pipelines powering the ISQ ONE platform in Dubai. You will prototype models for safety, facility, quality, and mobility domains, and work with product and engineering to translate business problems into AI solutions.

You will maintain monitoring and retraining workflows and clearly document model architectures for stakeholders across technical and non-technical teams.