Cloud-Based MLOps Engineer

2 weeks ago

Sydney, New South Wales, Australia FIS Full time
Job Description: We are seeking a highly skilled Cloud-Based MLOps Engineer to join our team at FIS. As a key member of our team, you will be responsible for developing and deploying machine learning models on Azure Cloud. Your expertise in MLOps, cloud-based technologies, and fintech will enable us to deliver innovative solutions that drive business growth and excellence.

About the Role:
Key Responsibilities:
  • Participate in daily Scrum meetings to develop machine learning solutions.
  • Collaborate with business and technical stakeholders to understand business problems and develop effective solutions.
  • Perform exploratory data analysis and metadata understanding.
  • Design, develop, and review machine learning models.
  • Stay up-to-date with the latest advancements in supervised learning, unsupervised learning, and reinforcement learning.
  • Understand generative AI and prompt engineering principles.
  • Fine-tune machine learning models.
  • Partner with data engineers, ML engineers, developers, and business teams to test models in production.
  • Built and maintain operational tools for deployment, monitoring, and analysis of Azure infrastructure and systems.
  • Administer and troubleshoot Linux-based, Dockerized, Kubernetes-orchestrated systems.
  • Maintain and support the solution post-development.

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