Senior ML Engineer — OCI Data Science & MLOps

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

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.