Senior MLOps / AIOps Engineer

A world leader in cloud solutions, using tomorrow's technology to tackle today's challenges. Operating for 40+ years, partnering with industry leaders across sectors.
Casablanca, Morocco
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
2+ years of experience
AI · Enterprise SaaS · Cloud

Description For Senior MLOps / AIOps Engineer

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.

Last updated 8 hours ago

Responsibilities For Senior MLOps / AIOps Engineer

  • Automate and streamline the deployment of machine learning models into production systems
  • Build and maintain CI/CD pipelines for machine learning models
  • Establish and maintain robust monitoring systems
  • Implement real-time performance metrics
  • Work closely with data scientists and architects
  • Design and manage infrastructure for training and serving models at scale
  • Build robust data pipelines for training and testing models
  • Ensure models, datasets, and experiments are versioned and reproducible

Requirements For Senior MLOps / AIOps Engineer

Python
Kubernetes
  • 2+ years of experience in MLOps, DevOps, or software engineering
  • Proficiency in Python and experience with Java or Go
  • Familiarity with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Experience with cloud platforms (AWS, GCP, Azure, OCI)
  • Experience with CI/CD tools and Git
  • Familiarity with monitoring tools (Prometheus, Grafana)
  • Strong understanding of data pipeline design
  • Strong communication skills
  • Experience in distributed systems and big data frameworks

Benefits For Senior MLOps / AIOps Engineer

Medical Insurance
Vision Insurance
Dental Insurance
  • Medical Insurance
  • Life Insurance
  • 401k

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