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Senior Data Scientist

2 months ago

Sydney, New South Wales, Australia Talenza Full time

Role Overview:

Talenza is seeking a highly skilled Senior ML Engineer to lead and take end-to-end ownership of our Machine Learning solutions. As a key member of our team, you will design, build, and operate cutting-edge Machine Learning solutions using cloud technology.

Key Responsibilities:

  • Lead and take ownership of Machine Learning projects across the full Software Development Life Cycle (SDLC)
  • Design, develop, test, and operate Machine Learning solutions in a modern DevOps culture
  • Implement MLOps best practices, including Continuous Integration/Continuous Deployment (CI/CD) pipelines
  • Collaborate with cross-functional teams to integrate Machine Learning solutions with cloud technologies and services
  • Develop and maintain expertise in cloud technologies, including GCP Vertex AI, DataRobot, and AWS SageMaker
  • Work closely with data engineers to design and implement data pipelines and architectures
  • Stay up-to-date with industry trends and advancements in Machine Learning and cloud technologies

Requirements:

  • 7+ years of experience as a software engineer in an agile DevOps environment using an object-oriented development language (Java, Python)
  • Experience leading projects across the full SDLC, including design, build, test, and supporting mission-critical production platforms
  • Expertise in implementing MLOps best practices, including CI/CD pipelines
  • Demonstrated proficiency using cloud technologies and integrating with ML services
  • Extensive experience with SQL and Python environments
  • Strong data engineering experience
  • Deep familiarity with cloud technologies and architectural practices
  • Excellent collaboration and communication skills, and a self-starter able to lead a team to deliver solutions