Machine Learning Engineer

Gold Coast Full-time $100,000 - $130,000 / Year
($8,333 - $10,833 / Month)

Job Description

We are seeking a Machine Learning Engineer who is passionate about artificial intelligence and machine learning to join our dynamic team in Gold Coast. The ideal candidate will possess a solid background in developing and implementing machine learning algorithms to solve complex problems. They will work closely with data scientists and software engineers to improve product offerings and drive new initiatives.

Responsibilities

  • Prototype machine learning models and conduct validation tests.
  • Work with cross-functional teams to define machine learning project goals.
  • Research and experiment with new technologies and tools to enhance model effectiveness.
  • Document processes and findings to share knowledge across the team.
  • Contribute to the strategic planning of machine learning projects.

Requirements

Education
  • Bachelor's degree in a relevant field
  • Master's degree in Machine Learning or Data Science is preferred
Experience
  • 5+ years of experience in machine learning or related fields
Technical Skills
  • R Programming
  • Data Visualization
Soft Skills
  • Flexibility
  • Collaboration
Certifications
  • Certified Data Scientist
  • Google Cloud Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Familiarity with DevOps practices: Experience with CI/CD pipelines and infrastructure automation.
  • Knowledge of reinforcement learning: Understanding of advanced machine learning techniques and algorithms.

Benefits

  • Comprehensive health insurance
  • 401(k) with company match
  • Work-life balance initiatives
  • Access to training and certifications

Company Culture

  • Inclusive Environment: We are committed to fostering an inclusive workplace where everyone feels valued and respected.
  • Agility: We embrace agility and adaptability in a fast-paced technological landscape.
  • Social Responsibility: Our team engages in community initiatives, giving back to society and supporting sustainability.
Status: Closed