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Lead MLOps Engineer

ssc-hrCairo, Cairo Governorate, Egypt
Hybrid Full-time

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Experience Level

Manager

Qualifications

Required Skills:Over 8 years of experience in Data Science or a related field, with at least 2 years specializing in MLOps. Extensive experience in designing and implementing MLOps strategies and pipelines. Deep expertise in on-premises platforms and containerization technologies, including Docker and Kubernetes. Proficiency in programming languages such as Python and familiarity with various scripting languages. Experience with CI/CD and MLOps tools, as well as multiple machine learning frameworks. Strong understanding of data engineering and software development principles. Excellent communication and technical documentation abilities. Ability to work effectively in a collaborative environment.

About the job

Join us as we embark on a transformative journey to become an AI-driven financial institution. Our commitment to revolutionizing customer service through cutting-edge technology and data analytics is reshaping the future of banking in Egypt. As a member of our agile, hybrid team, you will play a pivotal role in deploying AI solutions that enhance user experiences and streamline operations.

About the Role: We are seeking a seasoned and strategic Lead MLOps Engineer to spearhead our expanding MLOps Practice. In this critical role, you will be the technical authority responsible for shaping and executing the MLOps strategy. You will design and maintain robust machine learning pipelines, ensuring the seamless deployment of AI models into production. Our focus on agility, human-centric approaches, social inclusion, and digital transformation underpins our strategic vision.

Responsibilities:

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

About ssc-hr

We are at the forefront of transforming banking through AI, leveraging our extensive experience and heritage to create a data-driven institution that meets the evolving needs of our customers in Egypt.

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