MLOps Lead Data Scientist

Banque Misr · Cairo, Egypt · Posted 2026-04-11

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 bankServe as a technical leader and mentor for MLOps engineersDesign, build, and maintain scalable and reliable machine learning & CI/CD pipelinesEnsure the efficient deployment, monitoring & Governance of AI models in productionCollaborate with data scientists and engineers to optimize model performance and deploymentEstablish and enforce best practices for MLOps, including version control, model governance, and monitoringEvaluate and implement new MLOps tools and technologiesRequirementsRequired 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 pipelinesDeep expertise in on-prem platforms and containerization technologies (e.g., Docker, Kubernetes)Strong proficiency in programming languages like Python and scripting languagesExperience with CI/CD & MLOps tools as well as different ML frameworksStrong understanding of data engineering and software development principlesExcellent communication and technical documentation skillsAbility to work effectively in a complex and dynamic environmentDesirable Skills:Experience with feature stores and model registriesKnowledge of data governance and compliance requirementsExperience 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.

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