Machine Learning Engineer

Canberra FULL TIME $90,000 - $120,000 / Year
($7,500 - $10,000 / Month)

Job Description

We are on the lookout for a talented Machine Learning Engineer to join our Canberra team. You will work on complex algorithms and models that harness the power of AI to solve real-world problems. Ideal candidates possess a solid foundation in machine learning and a passion for developing innovative solutions.

Responsibilities

  • Analyze data and curate datasets for machine learning applications.
  • Work closely with cross-functional teams to drive projects to completion.
  • Create and maintain documentation for machine learning projects.
  • Build and test prototypes of machine learning applications.
  • Collaborate on research projects to push the boundaries of AI technology.
  • Provide technical guidance on best practices in machine learning and data science.
  • Explore and implement new methodologies and techniques in AI.

Requirements

Education
  • Bachelor's degree in a relevant technical field
  • Master's degree preferred
Experience
  • 5+ years of experience in machine learning and software development
Technical Skills
  • R
  • Keras
  • Advanced Data Structures
Soft Skills
  • Problem-solving
  • Creativity
Certifications
  • Professional Certificate in Machine Learning
  • Microsoft Certified: Azure AI Engineer Associate
Languages
  • English: Fluent

Advantageous

  • Familiarity with big data technologies such as Hadoop or Spark: Experience with large-scale data processing frameworks.
  • Participation in AI competitions or hackathons: Active involvement in the AI community and continuous learning.

Benefits

  • Comprehensive health insurance coverage
  • Work-life balance initiatives
  • Opportunities for career advancement
  • Team-building activities and events

Company Culture

  • Continuous Learning: Our culture promotes learning at every level, ensuring our team stays at the forefront of technology.
  • Work-life Balance: We prioritise the well-being of our employees, offering flexible arrangements to support a healthy work-life balance.
Status: Closed