VP, Machine Learning.MGN Egypt

Mashreq appears to be involved in retail and direct banking services, likely operating in the financial sector with a focus on customer experience and distribution.

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 Show more

The role involves leading the development and optimization of machine learning solutions within an organization. The individual is responsible for scaling ML engineering teams and platforms while ensuring alignment with business objectives.