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Machine Learning Operations Specialist

2 months ago

Brisbane, Queensland, Australia M&T Resources Full time
About the Position

The Machine Learning Operations Specialist plays a crucial role in ensuring the efficient deployment and maintenance of advanced analytics models, information products, and code assets. This position is responsible for developing and supporting continuous integration and delivery (CI/CD) pipelines for digital solutions.

Key Responsibilities
  • Design and Implement Automated CI/CD Pipelines: Develop well-engineered automated CI/CD pipelines for machine learning models and advanced analytics products to ensure quality, reliability, and scalability.
  • Collaborate with Cross-Functional Teams: Work with Data Scientists, Data Solution Developers, Business Analysts, and other stakeholders to identify areas where automation can be applied to improve business processes, scale, and drive innovation.
  • Ensure Guardrails and Communication: Collaborate with software developers and engineers from other Digital Platforms to ensure guardrails are applied and advanced analytics needs are communicated.
  • Stay Up-to-Date with Industry Trends: Stay current on the latest trends and technologies in MLOps and related fields, and implement best practice solutions for the Advanced Analytics team.
Requirements
  • Strong Understanding of ML and AI Concepts: Possess a strong understanding of Machine Learning (ML) and Artificial Intelligence (AI) concepts, terminology, and techniques, including supervised and unsupervised learning, deep learning, natural language processing, and large language models.
  • Programming Language Experience: Have experience with programming languages such as Python or R, and knowledge of code libraries like TensorFlow, PyTorch, and scikit-learn.
  • Cloud Computing and Analytics Experience: Have knowledge of cloud computing and analytics platforms such as Databricks, AWS, Azure, and experience with using native services/capabilities and deploying machine learning models using these platforms.