Machine Learning Engineer

Melbourne Full-time $110,000 - $140,000 / Year
($9,167 - $11,667 / Month)

Job Description

We are seeking a skilled Machine Learning Engineer to join our vibrant team in Melbourne. The ideal candidate will possess experience in developing and deploying machine learning models, enjoying the challenge of transforming complex data sets into actionable insights. Your role will involve leveraging AI to enhance product functionality and improve user experience.

Responsibilities

  • Develop innovative machine learning algorithms and prototypes.
  • Analyse large datasets to extract meaningful insights and trends.
  • Implement best practices for model validation and testing.
  • Work with stakeholders to define project goals and requirements.
  • Optimise existing models for performance improvements.
  • Assist in the deployment and monitoring of machine learning systems.
  • Provide analytical support for problem-solving and decision-making processes.

Requirements

Education
  • Bachelor's degree in Computer Science or related field
  • Master's in AI or Machine Learning is advantageous
Experience
  • 4+ years of experience in machine learning with a focus on AI solutions
Technical Skills
  • Deep Learning
  • Natural Language Processing (NLP)
Soft Skills
  • Analytical Thinking
  • Effective Communication
Certifications
  • Certified Machine Learning Professional
  • Google Cloud Certified - Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Experience with automation tools: Hands-on experience with CI/CD pipelines for deployment.
  • Knowledge of ethical AI: Familiarity with best practices for responsible AI development.

Benefits

  • Comprehensive health insurance and wellness initiatives
  • Flexible work arrangements with hybrid options
  • Robust training and development budget
  • Employee assistance programs

Company Culture

  • Continuous Learning: We promote ongoing education and provide resources for professional development.
  • Fun and Dynamic Environment: We strive to create a fun workplace that values teamwork and creativity.
  • Community Engagement: We are committed to giving back to our community through various initiatives.
Status: Closed