AI/ML Engineer: Build, Deploy & Optimize Models

Apparel Group; United Arab Emirates; On-site; AED 200,000 - 250,000; Full time

Job summary

A leading fashion retailer in the United Arab Emirates is seeking a Machine Learning Engineer to translate business problems into machine learning formulations. Responsibilities include optimizing models for production, managing deployments, and ensuring data governance. The ideal candidate has a strong background in Python, experience with MLOps practices, and excellent analytical skills. This position requires collaboration with product teams to produce clear documentation and model integration. Applications are encouraged from qualified individuals who wish to contribute to innovative solutions in the fashion industry.

Qualifications

• Proven experience in designing, training, and deploying machine learning models.
• Hands-on experience with MLOps tools and practices.
• Knowledge of model optimization techniques.

Responsibilities

• Translate business problems into ML formulations, selecting suitable architectures.
• Implement model versioning, lineage, and experiment tracking.
• Design data contracts and implement ETL/ELT pipelines.

Skills

Python programming

Machine Learning frameworks

MLOps tools

Data processing

Analytical skills

Communication skills

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML

Tools

Docker

Kubernetes

MLflow

Spark

Databricks

Job description

A leading fashion retailer in the United Arab Emirates is seeking a Machine Learning Engineer to translate business problems into machine learning formulations. Responsibilities include optimizing models for production, managing deployments, and ensuring data governance. The ideal candidate has a strong background in Python, experience with MLOps practices, and excellent analytical skills. This position requires collaboration with product teams to produce clear documentation and model integration. Applications are encouraged from qualified individuals who wish to contribute to innovative solutions in the fashion industry.