Machine Learning Engineer
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Summary
A senior machine learning engineer in Doha, Qatar who designs, trains, deploys, and monitors production ML solutions for enterprise use cases like document processing, anomaly detection, and intelligent automation. Core stack: Python, scikit-learn, TensorFlow/PyTorch, SQL, MLOps/CI-CD, REST APIs, and cloud ML infrastructure.
Senior Machine Learning Engineer – IT
Location: Qatar
Department: Information Technology
Experience: 5+ Years
Education: Bachelor's in Computer Science, AI, Data Science, Data Engineering, or related field. Master's preferred.
Role Summary
We are seeking a Senior Machine Learning Engineer to design, develop, deploy, and operate scalable ML solutions for enterprise applications, including document processing, anomaly detection, and intelligent automation.
Key Responsibilities
- Define ML problem statements, data requirements, and solution approaches.
- Build reliable data pipelines and ensure data quality and preprocessing.
- Develop, train, evaluate, and optimize Machine Learning and Deep Learning models.
- Deploy scalable ML models and inference services into production.
- Monitor model performance, data quality, and model/data drift.
- Implement MLOps pipelines, CI/CD, model versioning, and automated deployment.
- Ensure ML solutions meet security, privacy, governance, and compliance requirements.
- Optimize ML infrastructure for performance, scalability, and cost.
- Integrate ML models with applications through REST APIs and enterprise systems.
- Prepare technical documentation, model cards, experiment documentation, and deployment guides.
- Collaborate with software developers, data engineers, and IT teams for production integration.
- Identify opportunities to improve MLOps processes, model performance, and operational efficiency.
Mandatory Technical Skills
- 5+ years of applied Machine Learning / AI experience
- Strong Python programming
- scikit-learn
- TensorFlow or PyTorch
- SQL and data processing
- ML/DL model development and evaluation
- Data pipelines and data quality
- MLOps
- CI/CD
- Model deployment and monitoring
- Model/data drift monitoring
- REST APIs
- Cloud ML / ML infrastructure experience
Preferred
- Master's degree in AI, Computer Science, Data Science, or related field.
- Cloud ML certification.
- Experience with document processing, NLP, computer vision, anomaly detection, or intelligent automation.