Machine Learning Engineer

Adelaide Full-time $90,000 - $120,000 / Year
($7,500 - $10,000 / Month)

Job Description

We are seeking a passionate Machine Learning Engineer to join our team in Adelaide. In this role, you'll work on developing and implementing cutting-edge machine learning algorithms to enhance our AI capabilities. The ideal candidate will have a solid understanding of machine learning concepts, significant experience in coding, and a keen interest in problem-solving. You’ll be collaborating with a talented team to deliver innovative solutions that drive our projects forward. If you’re driven by technology and innovation, we’d love to hear from you.

Responsibilities

  • Lead the development of machine learning solutions from concept to deployment.
  • Engage with stakeholders to understand their needs and challenges.
  • Utilize cloud platforms (e.g., AWS, Azure) for model deployment and management.
  • Support the team in conducting workshops and training sessions on ML best practices.

Requirements

Education
  • Bachelor's degree in Data Science or related field
  • Master's degree in a relevant field is an advantage
Experience
  • 4+ years of experience in machine learning projects
Technical Skills
  • R
  • Deep Learning
Soft Skills
  • Team Collaboration
  • Time Management
Certifications
  • Data Science Certification
  • Google Cloud Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Experience with Transfer Learning: Hands-on experience applying transfer learning techniques in projects.
  • Familiarity with Cloud Platforms: Experience working with cloud platforms like AWS, Azure or Google Cloud.

Benefits

  • Competitive salary and bonuses based on performance.
  • Comprehensive health and wellness programs.
  • Opportunities for professional development and training.
  • Flexible working arrangements.

Company Culture

  • Innovation: We encourage creativity and innovation, fostering a culture where new ideas are welcomed.
  • Diversity and Inclusion: We strive to build a diverse workforce that reflects the communities we serve.
  • Community Engagement: Our team actively participates in community initiatives and outreach programs.
Status: Closed