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Machine Learning Solutions Architect

2 months ago

Sydney, New South Wales, Australia Talenza Full time

About the Role:

Talenza is seeking a highly skilled Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for designing, building, and operating Machine Learning solutions using cutting-edge cloud technology.

Key Responsibilities:

  • Take end-to-end ownership of your product in a modern DevOps culture.
  • Responsible for architecture, design, development, testing, and operations, delivering incrementally in iterative cycles.
  • Implement MLOps best practices including CI/CD pipelines.
  • Utilize cloud technologies and integrate with ML services such as GCP Vertex AI, DataRobot, or AWS SageMaker in large and complex organizations.
  • Work with SQL and Python environments.
  • Collaborate with data engineering teams to enhance tooling across the ML model development lifecycle.

Requirements:

  • 5+ years of experience as a software engineer in an agile DevOps environment using an object-oriented development language (Java, Python).
  • Experience across the full SDLC including design, build, test, and supporting mission-critical production platforms.
  • Demonstrated proficiency in cloud technologies and ML services.
  • Experience with data engineering and SQL environments.
  • Familiarity with cloud technologies and architectural practices.

About Talenza:

Talenza is a leading provider of AI and data science solutions. We are committed to delivering innovative and effective solutions to our clients.