Senior Machine Learning Engineer
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Key skills for this role
Role Overview
Design, build, and operate machine learning solutions supporting document processing and anomaly detection.
Prepare datasets, train and tune models, deploy scalable inference services, and support model lifecycle compliance and documentation.
Key Skills for This Role
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About the Role
Design, build, and operate machine learning solutions supporting document processing and anomaly detection.
Prepare datasets, train and tune models, deploy scalable inference services, and support model lifecycle compliance and documentation.
Key Responsibilities
- Define machine learning problem statements and data requirements.
- Build data pipelines ensuring data quality.
- Train, evaluate, and tune machine learning and deep learning models.
- Deploy models and monitor for drift.
- Ensure security, privacy, and regulatory compliance.
- Optimize infrastructure performance and cost.
- Prepare technical documentation and model cards.
- Collaborate with developers on integration.
- Recommend improvements to MLOps pipelines.
- Perform other related tasks as assigned.
Required Qualifications
- Bachelor's degree in Computer Science, Artificial Intelligence, or Data Engineering.
- Minimum 5 years of experience in applied machine learning or artificial intelligence.
- Strong hands-on skills in Python, scikit-learn, TensorFlow or PyTorch, SQL, REST APIs, CI/CD, model monitoring, and MLOps practices.
Preferred Qualifications
- Master's degree in a relevant field is preferred.
- Cloud ML certification is preferred.
- Prior experience delivering projects for government or public-sector clients in the Middle East is preferred.
- Fluency in Arabic and English is preferred.
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