About the Role: 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. Responsibilities: 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 Required Qualifications: 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 Preferred Qualifications: Master’s degree or PhD in a relevant field Experience 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 Experience working in the Saudi market or proficiency in Arabic