Machine Learning Engineer

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.