Senior MLOps / AIOps Engineer

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

Description For Senior MLOps / AIOps Engineer

Oracle is seeking a Senior MLOps/AIOps Engineer to join their team in Casablanca. This role bridges the gap between machine learning development and production deployment, working with cross-functional teams to deliver scalable ML solutions. The position requires 2+ years of experience in MLOps or related fields, with expertise in Python, cloud platforms, and ML frameworks. You'll be responsible for automating ML deployments, building CI/CD pipelines, and maintaining monitoring systems. Oracle offers a comprehensive benefits package and promotes an inclusive work environment. The role provides an opportunity to work with cutting-edge technology at a world-leading cloud solutions provider with over 40 years of industry experience. You'll contribute to significant projects while collaborating with talented teams of data scientists, software engineers, and DevOps professionals. The position offers career growth opportunities and the chance to work on innovative solutions that impact global businesses.

Last updated 8 days ago

Responsibilities For Senior MLOps / AIOps Engineer

  • Automate and streamline ML model deployment
  • Build and maintain CI/CD pipelines for ML models
  • Establish and maintain monitoring systems
  • Implement real-time performance metrics
  • Work with data scientists and architects
  • Design and manage infrastructure for training
  • Build robust data pipelines
  • Ensure model versioning and reproducibility
  • Provide technical leadership to other developers

Requirements For Senior MLOps / AIOps Engineer

Python
Kubernetes
Java
Redis
MongoDB
PostgreSQL
  • 2+ years of experience in MLOps, DevOps, or software engineering
  • Proficiency in Python and experience with Java or Go
  • Familiarity with ML 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 model interpretability and explainability

Benefits For Senior MLOps / AIOps Engineer

Medical Insurance
Vision Insurance
Dental Insurance
401k
Parental Leave
  • Competitive benefits package
  • Medical, life insurance and retirement options
  • Volunteer programs
  • Work-life balance

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