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Senior Engineer - Data Science

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Onsite

Senior Engineer - Data Science

Malomatia

Senior Engineer - Data Science

Skills

SQL QueriesData EngineeringDockerPythonData SciencePyTorchTensorFlowData AnalysisMachine LearningAIKubernetesOracle

2 months ago

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Important information


Location:

Doha, Qatar

Work mode:

Onsite

Published on:

9 August 2026

What they need


  • OCI Data Science Platform: Build, train, evaluate and deploy machine learning models using OCI Data Science, notebooks and Python-based ML solutions.
  • Data Preparation & Feature Engineering: Perform data cleansing, feature engineering, dataset management and model validation activities.
  • Machine Learning & Analytics: Develop supervised and unsupervised models including forecasting, classification, clustering and recommendation solutions.
  • Model Lifecycle & Governance: Manage model lifecycle, versioning, approvals, governance and traceability through OCI Model Catalog or equivalent controls.
  • MLOps & Deployment: Deploy models as scalable REST API endpoints and support CI/CD pipelines for model promotion and production deployment.
  • Monitoring & Continuous Improvement: Monitor model performance, utilisation and drift and support retraining and optimisation activities.
  • Operational Support: Provide L2/L3 support for deployed AI/ML solutions, troubleshooting, enhancements and knowledge base updates.

Primary Skills:

  • OCI Data Science
  • Python
  • SQL
  • Machine Learning
  • Model Validation
  • Statistical Analysis

Secondary/ Support Skills:

  • OCI DevOps
  • Docker
  • Kubernetes
  • Data Engineering concepts
  • AI Governance
  • Model monitoring

Tools/ Platforms:

  • Jupyter Notebooks

  • TensorFlow

  • PyTorch

  • Scikit-learn

  • OCI Object Storage

  • Oracle Autonomous Database

  • Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Engineering or a related field.

  • Minimum 5 years of experience in data science, machine learning, advanced analytics or predictive modelling.

  • Minimum 3 years of experience using OCI Data Science or equivalent cloud ML platforms.

  • Experience developing, training, deploying and monitoring machine learning models in production environments.

  • Strong understanding of MLOps, feature engineering, model governance and large-scale data analysis.

  • OCI Data Science Professional, OCI AI Foundations Associate or OCI AI Professional certifications are preferred.

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