Ml Engineer

Role & responsibilities

Job Role - Senior data scientist, Senior ML engineer

Location: Riyadh

Duration : 1 + Year extendable

Mandatory Experience

• Minimum 5 years in AI/ML roles with experience in hyper-personalization or recommender systems.
• Minimum 2 engagements in the banking or financial services domain.
• Experience in deploying ML models into production environments with measurable business impact.

Technical Skills

• Languages: Python, SQL, PySpark
• Tools & Platforms: Pandas, Scikit-learn, Vertex AI
• Data Engineering: Apache Spark, Cloudera, Big Query, Kafka, Airflow
• MLOps: MLflow, Docker, Kubernetes, GitLab CI/CD
• Feature Stores: Feast, Redis

The selected Candidates will be responsible for:

• Designing and implementing AI/ML models for hyper-personalized recommendations.
• Developing real-time and batch processing pipelines using customer behavior and transactional data.
• Conducting segmentation, clustering, and predictive modeling to enable next-best-action logic.
• Integrating ML outputs with digital channels (mobile app,CRM).
• Collaborating with internal data, IT, and business teams to ensure smooth delivery.
• Implementing A/B testing, performance tracking, and continuous model retraining.

Ensuring compliance with data governance, security, and regulatory requirements