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ML Engineer
Design and deploy scalable ML models and pipelines for production systems
Al Ahsa Governorate, Eastern Province, Saudi Arabia
Mid-Level
17 hours agoBe an early applicant
Master Works
A Saudi Arabian firm specializing in digital transformation, IT solutions, and consulting services for various industries.
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Machine Learning Engineer
This is a highly skilled Machine Learning Engineer to design, build, deploy, and scale machine learning models that power data-driven products and intelligent systems. This role sits at the intersection of data science, software engineering, and MLOps, and requires strong hands-on experience turning models into production-ready solutions, programming experience in Python or R.
Key Responsibilities:
- Design, develop, train, and optimize machine learning models for real applications or use cases.
- Translate business and product requirements into scalable ML/AI solutions.
- Implement feature engineering, model selection, tuning, and evaluation techniques.
- Develop, and deploy ML models into production environments with high availability and performance.
- Build and maintain ML pipelines (training, validation, deployment, monitoring).
- Monitor model performance, data drift, and model decay; retrain models as needed.
- Ensure models meet reliability, scalability, and security standards.
- Work closely with Data Scientists, Product Managers, and Software Engineers.
- Collaborate with data engineering teams to ensure high-quality, reliable data pipelines.
- Participate in design and code reviews, ensuring engineering best practices.
- Optimize models for latency, throughput, and cost.
- Implement experimentation frameworks (A/B testing, offline evaluation).
- Apply responsible AI principles, including fairness, explainability, and governance where required.
About Master Works
A Saudi Arabian firm specializing in digital transformation, IT solutions, and consulting services for various industries.