Machine Learning Engineer

Canberra FULL TIME $100,000 - $130,000 / Year
($8,333 - $10,833 / Month)

Job Description

We are seeking a skilled Machine Learning Engineer based in Canberra to join our passionate team. The ideal candidate will possess a robust understanding of machine learning algorithms, data analysis, and possess proficiency in programming languages such as Python and R.

Responsibilities

  • Create scalable machine learning architectures for real-time applications.
  • Perform algorithmic tuning and parameter optimization.
  • Assist in the collection and preprocessing of data for model training.
  • Evaluate and refine machine learning models to improve accuracy.
  • Communicate results and share findings with non-technical stakeholders.
  • Collaborate in a cross-functional team environment to achieve project objectives.
  • Enhance existing machine learning models with new features or data.

Requirements

Education
  • Bachelor's degree in Data Science, Computer Science, or relevant fields
  • Master's degree in AI or Data Science is advantageous
Experience
  • 3-5 years of professional experience in machine learning roles
Technical Skills
  • Python
  • Data Visualization
  • Big Data Technologies
Soft Skills
  • Problem Solving
  • Communication
Languages
  • English: Fluent

Advantageous

  • Familiarity with Docker: Experience using Docker for containerization of ML applications.
  • Experience in CI/CD processes: Understanding of continuous integration and delivery for ML workflows.

Benefits

  • Health insurance with family coverage
  • Ongoing learning and development resources
  • Flexible schedule and remote working potential
  • Generous leave policies

Company Culture

  • Diversity and Inclusion: We believe in a diverse workforce and create an inclusive environment for all employees.
  • Work-Life Balance: We value work-life balance and strive to provide flexible opportunities for our team.
  • Employee Empowerment: We empower our employees to take ownership of their work and contribute meaningfully.
Status: Open