AI Solutions Head

Discovered MENA; Saudi Arabia; On-site; SAR 200,000 - 300,000; Full time

Job summary

A leading AI solutions company in Saudi Arabia is looking for an AI Solutions Head to lead client-facing technical projects. The position requires 8+ years of experience in machine learning and proficiency in Arabic and English. Responsibilities include building models and mentoring junior staff. This full-time role offers an attractive salary package.

Qualifications

• 8+ years of experience in machine learning, data science, or applied analytics.
• Proven track record leading technical aspects of projects and mentoring junior team members.
• Strong hands-on expertise in building, validating, and deploying ML models.

Responsibilities

• Partner with client teams to gather business requirements for AI solutions.
• Build and deploy machine learning models and analytical workflows.
• Collaborate with engineering teams for seamless model integration.

Skills

Client engagement

Technical guidance

Model development

Mentorship

Collaboration

Fluency in Arabic

Fluency in English

Education

Bachelor's or Master's in Computer Science, Engineering, or related field

Tools

Python

JavaScript

AWS

PostgreSQL

Apache Spark

TensorFlow/Keras

Job description

Overview

Role: AI Solutions Head - Arabic Speaking

Location: Riyadh, Saudi (Full time)

Rate: Up to 60K SAR

Key Responsibilities

Client-Facing Solutioning

• Partner with client engagement and technical teams to gather business requirements and convert them into practical AI/analytics solutions.
• Provide strategic guidance on solution architecture, ensuring alignment with client goals.
• Act as the technical lead in client workshops and delivery discussions.

Model Development & Execution

• Build and deploy machine learning models and end-to-end analytical workflows, including data preprocessing, feature engineering, training, and validation.
• Leverage a mix of classical ML and deep learning techniques (e.g., forecasting, NLP, optimization, anomaly detection).
• Ensure models are reliable, modular, and production-ready.

Collaboration & Mentorship

• Mentor junior data scientists and engineers in model development and project delivery.
• Conduct code reviews, promote best practices, and uphold high technical standards across the team.

Integration & Deployment

• Collaborate with engineering teams to integrate models seamlessly into production.
• Ensure solutions are containerized, API-enabled, and compatible with CI/CD pipelines.

Innovation & Continuous Improvement

• Keep pace with the latest ML/AI advancements and evaluate their relevance for real-world use.
• Drive internal prototyping and experimentation to test new approaches.
• Share insights through documentation, demos, and team knowledge sessions.

Technical Stack

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

Qualifications

• Bachelor’s or Master’s in Computer Science, Engineering, or related field.
• 8+ years of experience in machine learning, data science, or applied analytics.
• Proven track record leading technical aspects of projects and mentoring junior team members.
• Strong hands-on expertise in building, validating, and deploying ML models.
• Ability to balance deep technical work with practical business impact.
• Excellent communication and collaboration skills across technical and non-technical stakeholders.
• Fluency in Arabic and English (written and spoken mandatory)