Machine Learning Solutions Architect

4 weeks ago

Sydney, New South Wales, Australia Talenza Full time

Role Overview:

Talenza is seeking a skilled Machine Learning Engineer to join our newly established team. As a Machine Learning Engineer, you will take end-to-end ownership of your product in a modern DevOps culture.

Key Responsibilities:

  • Design, build, test, and operate Machine Learning solutions using cutting-edge cloud technology.
  • Take ownership of your product and drive it from concept to delivery.
  • Collaborate with cross-functional teams to integrate Machine Learning capabilities at scale.
  • Implement MLOps best practices, including CI/CD pipelines.
  • Develop and maintain cloud-based Machine Learning platforms.
  • Work with data engineering teams to integrate Machine Learning solutions with data pipelines.

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 using cloud technologies and integrating with ML services such as GCP Vertex AI, DataRobot, or AWS SageMaker.
  • Experience with SQL and Python environments.
  • Data engineering experience will be highly regarded.
  • Familiarity with cloud technologies and architectural practices to enhance tooling across the ML model development lifecycle.

What We Offer:

Talenza offers a competitive salary, superannuation, and bonus package. If you feel you possess the relevant skills and experience, we encourage you to apply with your most updated CV.

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