Oracle is seeking a skilled Senior MLOps/AIOps Engineer to join their team in Casablanca. This role bridges the gap between machine learning model development and production deployment, working with cross-functional teams to ensure scalable, efficient, and robust machine learning models are delivered into production environments.
The position involves automating and streamlining ML model deployments, building CI/CD pipelines, and establishing monitoring systems for model performance. You'll work with cutting-edge technologies including cloud platforms, containerization tools, and ML frameworks to support the entire machine learning lifecycle.
As a senior engineer, you'll collaborate closely with data scientists, software engineers, and DevOps teams to ensure seamless transition from model development to production. You'll be responsible for designing and managing infrastructure for training and serving models at scale, building robust data pipelines, and implementing version control for models and datasets.
Oracle offers a comprehensive benefits package including medical, life insurance, and retirement options. The company promotes work-life balance and provides opportunities for community involvement through volunteer programs. As a world leader in cloud solutions with 40+ years of experience, Oracle provides a stable yet innovative environment where you can make significant contributions to enterprise AI/ML infrastructure.
The role requires strong technical expertise in Python, ML frameworks, cloud platforms, and CI/CD tools, combined with excellent communication skills to work effectively across teams. This is an opportunity to shape the future of ML operations at a leading technology company while working with enterprise-scale systems and cutting-edge AI technologies.