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Senior Engineer - Data Science

Job in Doha, Baladīyat ad Dawḩah, Qatar
Listing for: malomatia
Full Time position
Listed on 2026-08-16
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist, Data Engineering
Salary/Wage Range or Industry Benchmark: 250000 - 380000 QAR Yearly QAR 250000.00 380000.00 YEAR
Job Description & How to Apply Below
  • 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.
Job Description
  • 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.
Responsibilities
  • 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 Dev Ops
  • Docker
  • Kubernetes
  • Data Engineering concepts
  • AI Governance
  • Model monitoring
Tools/ Platforms
  • Jupyter Notebooks
  • Tensor Flow
  • Py Torch
  • Scikit-learn
  • OCI Object Storage
  • Oracle Autonomous Database
Qualifications
  • 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.
About Malomatia ABOUT US

malomatia is a leading Qatar-based IT services and solutions provider, bringing together top Qatari and international talent to deliver innovative, end-to-end…

Position Requirements
10+ Years work experience
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