AI / ML Engineer

Michael Page; United Arab Emirates; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading distribution company in the UAE seeks a Data Scientist to design and deploy machine learning models. The role involves developing predictive models, collaborating with teams, and utilizing modern tools. Candidates should have 5+ years of experience, proficiency in Python and SQL, and a relevant degree. Join a dynamic workplace that prioritizes innovation.

Benefits

Opportunity to lead high-impact AI projects

Collaborative work culture

Access to cutting-edge tools and technologies

Qualifications

• Minimum 5 years' experience in machine learning, data science, or applied statistics.
• Strong understanding of classical ML techniques, statistical modeling, and data wrangling.
• Experience with cloud platforms and data engineering tools.

Responsibilities

• Develop and deploy predictive models for demand forecasting and inventory optimisation.
• Collaborate with stakeholders to translate problems into data science solutions.
• Evaluate model performance and ensure continuous improvement.

Skills

Machine Learning

Data Science

Python

SQL

Statistical Modeling

Data Wrangling

Communication Skills

Problem Solving

Education

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field

Tools

scikit-learn

XGBoost

TensorFlow

AWS

Azure

Job description

Overview

The Role

This role focuses on designing and deploying machine learning models and data science solutions to solve real-world business challenges. You'll work closely with cross-functional teams to extract insights from complex datasets and support strategic initiatives across all operations & BUs. Client Details: A leading distribution business in the UAE, recognised for its expansive logistics operations and commitment to innovation. Description

Responsibilities

• Develop and deploy predictive models for demand forecasting, inventory optimisation, and customer segmentation.
• Perform exploratory data analysis and statistical modeling to uncover actionable insights.
• Collaborate with business stakeholders to translate problems into data science solutions.
• Build and maintain scalable data pipelines and model deployment frameworks.
• Evaluate model performance and ensure continuous improvement through retraining and tuning.
• Document methodologies and present findings to technical and non-technical audiences.
• Stay updated with industry trends and emerging techniques in machine learning and data science.

Job Offer

• Opportunity to lead high-impact AI and data science projects in a dynamic industry.
• Collaborative work culture with access to cutting-edge tools and technologies.

Requirements

• Minimum 5 years' experience in machine learning, data science, or applied statistics.
• Proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow).
• Strong understanding of classical ML techniques, statistical modeling, and data wrangling.
• Experience with cloud platforms (e.g., AWS, Azure) and data engineering tools.
• Excellent problem-solving and communication skills.
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field.

About the company

Michael Page is one of the world's leading professional recruitment consultancies, specializing in the placement of candidates in permanent, contract, temporary and interim positions with clients around the world. The Group has operations in the UK, Continental Europe, Asia-Pacific and the Americas. In the Middle East we focus on the areas of : Finance & Accounting Banking & Financial Services Procurement Property & Construction Engineering & Supply Chain Oil & Gas Technical and Engineering Human Resources Sales Marketing Technology Secretarial Executive Search Legal The Group operates through 161 offices in 33 countries and employs over 5,000 employees worldwide.