Shape the Future of Banking with AI at Banque Misr!

Banque Misr is transforming into an AI-led bank, revolutionizing how we serve our customers and drive the future of finance. We leverage our rich heritage and expertise to build a data-driven powerhouse that anticipates customer needs, personalizes experiences, and optimizes operations. We're not just talking about AI; we're deploying it, and we're seeing tangible results that touch the lives of every Egyptian. Join our agile, hybrid team and be at the forefront of this exciting transformation!

About the Role: We're looking for a highly experienced and strategic Lead MLOps Engineer to lead our growing MLOPs Practice. You will be a technical leader responsible for defining and implementing the MLOps strategy, building and maintaining robust machine learning pipelines, and ensuring the smooth and efficient deployment of AI models into production. Our commitment to agility, human-centricity, social inclusion, and digital transformation guides our strategic vision.

Responsibilities:

Define and implement the technical MLOps strategy and roadmap for the bank
Serve as a technical leader and mentor for MLOps engineers
Design, build, and maintain scalable and reliable machine learning & CI/CD pipelines
Ensure the efficient deployment, monitoring & Governance of AI models in production
Collaborate with data scientists and engineers to optimize model performance and deployment
Establish and enforce best practices for MLOps, including version control, model governance, and monitoring
Evaluate and implement new MLOps tools and technologies

Requirements

Required Skills:

+8 years of relevant experience in Data Science or a related field 2 years of them in the MLOps field
Extensive experience in designing and implementing MLOps strategies and pipelines
Deep expertise in on-prem platforms and containerization technologies (e.g., Docker, Kubernetes)
Strong proficiency in programming languages like Python and scripting languages
Experience with CI/CD & MLOps tools as well as different ML frameworks
Strong understanding of data engineering and software development principles
Excellent communication and technical documentation skills
Ability to work effectively in a complex and dynamic environment

Desirable Skills:

Experience with feature stores and model registries
Knowledge of data governance and compliance requirements
Experience with different data platforms (Cloudera, Teradata, etc..)

Apply now and help us build the future of banking! We aim to deliver unparalleled products and services through innovation in AI.

MLOps Lead Data Scientist