VP, Machine Learning.MGN Egypt

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