VP, Machine Learning.MGN Egypt

Job description

Job Purpose

• Lead the development, deployment, and optimization of ML solutions across the organization
• Own and scale ML engineering teams and platforms
• Ensure alignment with business goals and technical excellence
• Drive innovation, efficiency, and enterprise ML adoption Key Result Areas / Responsibilities
• Lead design, development, and deployment of scalable ML systems and platforms Drive ML engineering best practices , including lifecycle management
• Collaborate with Data Science, Product, and Engineering teams Establish MLOps, CI/CD pipelines, and model monitoring standards
• Mentor and grow ML engineering teams

Operating Environment

• Works in a cloud-native environment with modern ML frameworks
• Collaborates cross-functionally with: Data Scientists Software Engineers Product Managers Business stakeholders Decision Authority Own ML engineering roadmap and technology stack Responsible for: Hiring and team structure Architecture decisions Delivery quality and timelines Decide on vendor and tooling strategy

Skills & Experience

• 10+ years engineering experience, including ML leadership
• Proven experience deploying ML models at scale in production Expertise in: ML frameworks On-prem ML platform and Cloud platforms (Azure/AWS/GCP) MLOps, CI/CD, containerization (Docker, Kubernetes)
• Strong leadership, stakeholder management, and communication skills Understanding of ethical AI, privacy, and compliance