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Lead MLOps Engineer

ssc-hrCairo, Cairo Governorate, Egypt
On-site Full-time

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Experience Level

Manager

Qualifications

Essential Qualifications:8+ years of experience in Data Science or a related field, with at least 2 years in an MLOps role. Proven record in designing and implementing effective MLOps strategies and pipelines. In-depth expertise in on-premises platforms and containerization technologies (e.g., Docker, Kubernetes). Strong programming proficiency in Python and familiarity with scripting languages. Experience with CI/CD and MLOps tools, alongside various machine learning frameworks. Solid understanding of data engineering and software development principles. Exceptional communication and technical documentation skills. Proven ability to thrive in complex and dynamic environments. Preferred Qualifications:Experience working with feature stores and model registries. Knowledge of data governance and compliance standards. Familiarity with diverse data platforms (Cloudera, Teradata, etc.).

About the job

Key Responsibilities:

·         Develop and execute a comprehensive technical strategy and roadmap for MLOps in the organization.

·         Act as a technical authority and mentor to MLOps engineering teams.

·         Architect, construct, and uphold robust and scalable machine learning and CI/CD pipelines.

·         Oversee the effective deployment, monitoring, and governance of AI models in a production environment.

·         Collaborate with data scientists and engineering teams to enhance model performance and streamline deployment processes.

·         Establish and uphold best practices for MLOps, including model versioning, governance, and monitoring protocols.

·         Assess and integrate cutting-edge MLOps tools and technologies to improve operations.

About ssc-hr

At ssc-hr, we are committed to leveraging innovative technology solutions to optimize our operations and enhance our service delivery. As a leader in human resources technology, we empower organizations to achieve their strategic goals through data-driven insights and advanced machine learning applications.

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