VP, Machine Learning.MGN Egypt
Summary
Leads a team to design, deploy, and optimize machine learning systems in a cloud-native environment, aligning technical solutions with business goals.
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