Machine Learning Engineer
Vistas Global- Posted 10 hours ago
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Job Description
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.
More Info
Key Skills
ML infrastructure
model data drift monitoring
data pipelines
scikit-learn
model deployment
ML DL model development and evaluation
CI CD
Cloud ML
