Senior Engineer - Data Science

malomatia; Doha; On-site; QAR 250,000 - 450,000; Full time

Job summary

malomatia in Qatar is seeking a skilled data scientist to build, train and deploy machine learning models using OCI Data Science and related tools. You will work on data preparation, feature engineering and model validation to deliver production-ready solutions.

You will develop forecasting, classification and clustering models, ensuring governance, versioning, and monitoring of deployed solutions while collaborating with cross-functional teams across the organization.

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.

Responsibilities

• Build, train, evaluate and deploy ML 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.

Skills

OCI Data Science

Python

SQL

Machine Learning

Model Validation

Statistical Analysis

Education

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

Tools

Jupyter Notebooks

TensorFlow

PyTorch

Scikit-learn

OCI Object Storage

Oracle Autonomous Database

Docker

Kubernetes

OCI DevOps

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.

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.

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

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

malomatia is a leading Qatar-based IT services and solutions provider, bringing together top Qatari and international talent to deliver innovative, end-to-end technology solutions that empower clients to achieve their strategic goals.

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 technology solutions that empower clients to achieve their strategic goals.

Our mission

Empowering Qatar’s businesses and governments to leap into the digital future with agile, knowledge-driven solutions.

Our vision

To become Qatar’s trusted knowledge partner in digital transformation, disrupting industries, shaping the future, and building a world-class tech ecosystem.

Driving change that makes a real impact

Since 2008, malomatia has been driving Qatar’s digital transformation through innovative, ISO-certified IT solutions. With expertise across key public and private sectors, we empower the nation’s vision with advanced services in cloud, cybersecurity, AI, and contact center excellence, elevating the role of technology in shaping Qatar’s sustainable future.

About The Team

Established in 2008, malomatia is a Qatari leader in IT services and digital transformation. We serve key sectors including Government, Healthcare, Education, Customs, and Transportation, delivering impactful solutions that support national development goals. Powered by a diverse team of skilled Qatari and international IT professionals, we deliver innovative, high‑value digital solutions tailored to the unique needs of our clients.

Our mission is to inspire customers to thrive through digital excellence, and we envision becoming the trusted partner of choice in building a smarter society through technology and talent. We are driven by core values that define our culture and approach: ownership, integrity, empathy, teamwork, transparency, agility, excellence, trust, and innovation.

Join us in shaping the future of technology in Qatar