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Senior Machine Learning Architect

2 weeks ago


Sydney, New South Wales, Australia beBeeDataDriven Full time $120,000 - $180,000

Machine Learning Platform Engineers play a pivotal role in driving the development and deployment of AI-powered solutions.

Key Responsibilities:
  • Pipeline Development: Design and implement high-performance machine learning pipelines that deliver scalable and efficient results.
  • Collaboration: Work with cross-functional teams to develop and deploy AI models, fostering a culture of innovation and collaboration.
  • Integration: Ensure seamless integration with existing systems and technologies, streamlining workflows and enhancing overall performance.
  • Testing Frameworks: Develop and maintain robust testing frameworks to guarantee quality and reliability, upholding the highest standards of excellence.
Requirements:
  • Technical Expertise: Possess a strong background in software engineering and machine learning, with expertise in cloud-based platforms such as AWS or Azure.
  • Programming Proficiency: Demonstrate proficiency in programming languages like Python, Java, or C++, with a keen understanding of their applications and limitations.
  • Containerization: Show familiarity with containerization using Docker and Kubernetes, ensuring seamless deployment and management of applications.