About the Role

Jobs AI is seeking a Data Scientist AI/ML to work on a contract basis for one of our clients in Saudi Arabia. This role focuses on developing and deploying machine learning models to improve predictive accuracy across various client datasets. The successful candidate will collaborate with cross-functional teams to identify and implement data-driven solutions, contributing to the automation of workflows.

Key Responsibilities

• Design, train, and optimize machine learning models for classification, regression, and clustering tasks.
• Preprocess and analyze large-scale structured and unstructured datasets to extract actionable insights.
• Implement and maintain MLOps pipelines for model deployment, monitoring, and retraining.
• Develop and document reproducible experiments using Python, Jupyter notebooks, and version control systems.
• Present findings and recommendations to stakeholders through clear visualizations and technical reports.

Required Experience and Qualifications

Candidates for this position should have 2-5 years of experience in data science or machine learning. Essential qualifications include practical experience in designing, training, and deploying machine learning models, as well as proficiency in data preprocessing and analysis. Familiarity with MLOps principles and tools, including Python, Jupyter notebooks, and version control systems, is required.

Work Environment and Opportunity

This contract role offers the opportunity to work with a global leader in the Software Development industry. The position provides exposure to cutting-edge tools and fosters collaboration with experts in data science and engineering, contributing directly to the scalability of AI-driven solutions.

Compensation

The compensation for this contract position is offered at a rate of $30 to $100 per hour, depending on experience and qualifications.

Equal Opportunity Employer

Jobs AI is committed to equal opportunity employment. We hire based on skills and expertise, welcoming all qualified candidates regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.