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