Specialist - Machine Learning

Almosafer; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading travel company in Dubai is seeking a talented Machine Learning Engineer to join their data science team. The ideal candidate will develop and implement models to solve complex business problems, collaborating with cross-functional teams to deliver scalable solutions. Strong programming skills in languages like Python or Java are essential, along with experience in machine learning frameworks and cloud platforms.

Benefits

Ongoing learning and development

Recognition for achievements

Purpose-led workplace

Qualifications

• Proven experience as a Machine Learning Engineer or in a similar role.
• Experience with deep learning and natural language processing (NLP) techniques.
• Understanding of model interpretability and explainability.

Responsibilities

• Design, build, and deploy machine learning models and algorithms.
• Collaborate with data scientists to refine data features and enhance model performance.
• Optimize and improve existing machine learning models for efficiency and accuracy.

Skills

Proficiency in programming languages such as Python, Java, or R

Strong understanding of algorithms, data structures, and software engineering principles

Excellent problem-solving skills

Experience with machine learning frameworks and libraries

Familiarity with cloud platforms

Knowledge of data manipulation and analysis tools

Education

Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field

Tools

AWS BedRock

Amazon SageMaker

TensorFlow

PyTorch

Scikit-learn

SQL

Pandas

NumPy

Job description

About the company:

At Almosafer (part of Seera Group), we’re not just part of the travel industry, we’re helping shape its future.

As Saudi Arabia’s leading travel company, we serve millions across every segment of the travel and tourism ecosystem.

Rooted in our name “Almosafer,” meaning the traveler, we strive to make every journey seamless, personal, and purposeful. Our diverse platforms and services are built to deliver enriching experiences that reflect the spirit of Saudi Arabia and the wider region.

We’re united by a bold vision:

To be the undisputed leader in travel services, fostering lasting connections and setting new benchmarks for excellence in the Kingdom and beyond.

Our team across Saudi Arabia and the wider region blends deep cultural understanding with forward-thinking innovation, shaping a new standard for travel in the region.

About the Role:

We are seeking a talented Machine Learning Engineer to join our data science team. The ideal candidate will be responsible for developing and implementing machine learning models and algorithms that solve complex business problems. You will work closely with data scientists, software engineers, and stakeholders to deliver scalable solutions.

Responsibilities:

• Design, build, and deploy machine learning models and algorithms.
• Collaborate with data scientists to refine data features and enhance model performance.
• Optimize and improve existing machine learning models for efficiency and accuracy.
• Conduct data preprocessing, feature engineering, and data analysis.
• Monitor and maintain models in production to ensure they operate effectively.
• Document and communicate model designs and performance metrics to stakeholders.
• Stay updated on the latest industry trends and advancements in machine learning and AI.
• Participate in code reviews and contribute to a culture of continuous improvement

Profile requirements:

• Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.
• Proven experience as a Machine Learning Engineer or in a similar role.
• Proficiency in programming languages such as Python, Java, or R.
• Experience with machine learning frameworks and libraries (e.g.,AWS BedRock, Amazon SageMaker, TensorFlow, PyTorch, Scikit-learn)
• Strong understanding of algorithms, data structures, and software engineering principles.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and tools for deploying machine learning models.
• Knowledge of data manipulation and analysis tools (e.g., SQL, Pandas, NumPy).
• Excellent problem-solving skills and ability to work collaboratively in a team environment.
• Experience with deep learning and natural language processing (NLP) techniques.
• Understanding of model interpretability and explainability.
• Perform statistical analysis, and train and retrain systems to optimize performance
• Preferred Skills:
• Familiarity with version control systems (e.g., Git) and CI/CD practices.
• Experience with AI/GenAI
• Experience with AWS data services (e.g., AWS EMR, AWS Glue, AWS Athena)
• Design/build and deploy API services

Being you @ Almosafer:

At Almosafer, our teams work with purpose, clarity, and a shared commitment to doing things the right way.

Whether you're building platforms, supporting travelers, or shaping strategy, your work connects to something bigger. Across functions and locations, we value accountability, trust, and collaboration - and we create the structure and space for you to contribute meaningfully from day one.

Here, you will find:

A purpose-led workplace where your ideas can create real impact

Ongoing learning and development to help you grow with intention

Recognition that celebrates your wins, both big and small

A community built on trust, curiosity, and shared momentum

No matter where your journey started, at Almosafer, you will find space to grow, connect, and contribute meaningfully.