Position Overview
We are seeking a technically strong and solution-oriented AI Solutions Head to support the design and implementation of advanced AI and analytics solutions. This role is ideal for someone with 8+ years of experience in data science and applied machine learning who enjoys combining technical depth with real-world problem-solving.

You will work closely with internal technical teams and external clients to translate business needs into scalable AI solutions. You’ll also guide junior team members, contribute to hands-on model development, and ensure seamless delivery of analytical components into production environments.

Key Responsibilities

Client-Facing Analytics Solutioning

• Collaborate with client engagement and technical teams to understand business requirements and translate them into actionable AI/analytics solutions.
• Provide strategic input on solution design, aligning analytical capabilities with client objectives.
• Serve as a technical lead in solution delivery discussions and workshops with clients.

Model Development & Technical Execution

• Design and implement machine learning models and analytical workflows, including data preprocessing, feature engineering, model training, and validation.
• Apply classical machine learning and deep learning techniques (e.g., forecasting, NLP, optimization, anomaly detection).
• Ensure models are robust, modular, and ready for integration into production environments.

Team Collaboration & Technical Mentorship

• Guide junior data scientists and engineers on model development and project execution.
• Conduct code reviews, share best practices, and help maintain technical quality standards across the team.

Integration & Deployment

• Work closely with the engineering teams to ensure efficient integration and deployment.
• Ensure that models are containerized, API-ready, and compatible with deployment pipelines (CI/CD).

Innovation & Continuous Improvement

• Stay current with emerging ML and AI techniques, and assess their potential applications.
• Contribute to internal experimentation and prototyping to validate new modeling approaches.
• Share learnings across the team through documentation, demos, and technical sessions.

Technical Stack

• Languages & Libraries: Python, JavaScript, NumPy, pandas, scikit-learn, XGBoost
• Deep Learning: PyTorch, TensorFlow/Keras
• Cloud Platforms: Preferably AWS, or alternatively GCP
• Databases: PostgreSQL, Oracle
• Distributed Processing: Apache Spark, Apache Flink

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in machine learning, data science, or applied analytics roles.
• Demonstrated ability to lead technical aspects of projects and mentor junior team members.
• Experience delivering solutions in real-world environments.
• Strong hands-on experience in building, validating, and deploying ML models.
• Ability to balance technical depth with practical delivery and business impact.
• Excellent collaboration and communication skills to work across teams and with clients.
• Fluent in Arabic and English (written and spoken).