Machine Learning Engineer

We are seeking a talented Machine Learning Engineer based in Saudi Arabia to design, develop, and deploy scalable machine learning solutions.

You will work closely with data scientists, software engineers, and business stakeholders to turn raw data into actionable insights and drive innovation across the organization.

Design, develop, and deploy end-to-end machine learning models and pipelines

Collaborate with cross-functional teams to identify business use cases and translate them into technical requirements

Perform data preprocessing and feature engineering on large and diverse datasets

Implement and optimize machine learning algorithms using TensorFlow and PyTorch

Write clean, maintainable code in Python and adhere to software development best practices

Manage and query data using SQL and relational database management systems

Monitor model performance in production and retrain or fine-tune as necessary

Document processes, experiments, and results; present findings to technical and non-technical stakeholders

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field

2–6 years of professional experience in machine learning or data science roles

Proficiency in Python programming

Strong understanding of machine learning algorithms and statistical methods

Hands-on experience with TensorFlow and PyTorch frameworks

Expertise in data preprocessing and feature engineering techniques

Solid experience with SQL and database management systems

Familiarity with version control systems (e.g., Git) and software development workflows

Master’s degree or PhD in a relevant field

with cloud platforms such as AWS, Azure, or Google Cloud Platform

Knowledge of MLOps practices and tools (e.g., Docker, Kubernetes)

Proven track record of deploying machine learning models to production

Excellent problem-solving, communication, and collaboration skills

working in the Saudi market or proficiency in Arabic