Machine Learning Engineer

Linnk Group; United Arab Emirates; On-site; AED 200,000 - 300,000; Full time

Job summary

A leading company in the UAE is seeking a Machine Learning Engineer to design and productionise models that enhance decision-making and customer engagement. You will collaborate with Data Engineers and Analysts to build end-to-end pipelines, backed by a strong focus on practical AI applications.

Qualifications

• 4+ years experience building and deploying ML systems in production.
• Solid Python skills.
• Familiarity with ML lifecycle tools.

Responsibilities

• Train, evaluate and productionise supervised and unsupervised ML models.
• Work on data preprocessing, feature engineering and transformation pipelines.
• Deploy models into cloud-native environments (AWS / GCP / Azure).

Skills

Python

Machine Learning

Data Engineering

Tools

Scikit-Learn

PyTorch

TensorFlow

MLflow

Airflow

SageMaker

VertexAI

Job description

Get AI-powered advice on this job and more exclusive features.

Design and deploy high-impact ML systems across real-world industries. We’re partnering with a fast-scaling data consultancy delivering applied machine learning solutions for financial services, SaaS and smart logistics.

We’re hiring a Machine Learning Engineer to design and productionise models that improve decision-making, automation and customer engagement.

You’ll work closely with Data Engineers, Analysts, and Product Owners to build end-to-end pipelines that deliver measurable outcomes. From experimentation to deployment, you’ll own your models.

Key Responsibilities :

• Train, evaluate and productionise supervised and unsupervised ML models
• Work on data preprocessing, feature engineering and transformation pipelines
• Deploy models into cloud-native environments (AWS / GCP / Azure)
• Monitor performance and retrain based on drift or feedback loops
• 4+ years experience building and deploying ML systems in production
• Solid Python skills and experience with frameworks like Scikit-Learn, PyTorch, TensorFlow
• Familiarity with ML lifecycle tools : MLflow, Airflow, SageMaker, VertexAI
• Understanding of performance monitoring, A / B testing, and bias mitigation

If you love making AI useful – not theoretical – this is the gig for you.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Contract

Job function

Job function

Engineering and Information Technology

Information Technology & Services and Appliances, Electrical, and Electronics Manufacturing

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Machine Learning Engineer • United Arab Emirates