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VP, Machine Learning.MGN Egypt - TECH-Head-Business Services.Technology - M at Mashreq Careers

, , Egypt -

Full Time

Start Date

Immediate

Expiry Date

18 Oct, 26

Salary

0.0

Posted On

20 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, MLOps, CI/CD, Docker, Kubernetes, Azure, AWS, GCP, Stakeholder Management, ML Engineering, Model Monitoring, Cloud Computing, Leadership, Ethical AI, Privacy Compliance, System Architecture

Industry

Banking

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

Responsibilities

Lead the development, deployment, and optimization of scalable machine learning solutions and platforms across the organization. Manage ML engineering teams and establish MLOps standards to ensure alignment with business goals.