Role: AI Solutions Head -
Arabic Speaking
Location: Riyadh, Saudi (Full time)
Rate: Up to 60K SAR
Key Responsibilities
Client-Facing Solutioning
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Partner with client engagement and technical teams to gather business requirements and convert them into practical AI/analytics solutions.
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Provide strategic guidance on solution architecture, ensuring alignment with client goals.
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Act as the technical lead in client workshops and delivery discussions.
Model Development & Execution
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Build and deploy machine learning models and end-to-end analytical workflows, including data preprocessing, feature engineering, training, and validation.
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Leverage a mix of classical ML and deep learning techniques (e.g., forecasting, NLP, optimization, anomaly detection).
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Ensure models are reliable, modular, and production-ready.
Collaboration & Mentorship
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Mentor junior data scientists and engineers in model development and project delivery.
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Conduct code reviews, promote best practices, and uphold high technical standards across the team.
Integration & Deployment
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Collaborate with engineering teams to integrate models seamlessly into production.
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Ensure solutions are containerized, API-enabled, and compatible with CI/CD pipelines.
Innovation & Continuous Improvement
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Keep pace with the latest ML/AI advancements and evaluate their relevance for real-world use.
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Drive internal prototyping and experimentation to test new approaches.
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Share insights through documentation, demos, and team knowledge sessions.
Technical Stack
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Languages & Libraries:
Python, JavaScript, NumPy, pandas, scikit-learn, XGBoost
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Deep Learning:
PyTorch, TensorFlow/Keras
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Cloud Platforms:
AWS (preferred) or GCP
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Databases:
PostgreSQL, Oracle
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Distributed Processing:
Apache Spark, Apache Flink
Qualifications
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Bachelor’s or Master’s in Computer Science, Engineering, or related field.
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8+ years of experience in machine learning, data science, or applied analytics.
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Proven track record leading technical aspects of projects and mentoring junior team members.
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Strong hands-on expertise in building, validating, and deploying ML models.
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Ability to balance deep technical work with practical business impact.
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Excellent communication and collaboration skills across technical and non-technical stakeholders.
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Fluency in Arabic and English (written and spoken mandatory)