Machine Learning Engineer

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

Job Description

We are seeking a talented Machine Learning Engineer to join our team in Hobart. You will work on developing and deploying cutting-edge machine learning models to solve complex problems and enhance our AI capabilities. The ideal candidate will have a strong foundation in machine learning algorithms and a passion for innovation.

Responsibilities

  • Create predictive models to enhance decision-making processes.
  • Implement data collection and labeling processes for ML training.
  • Collaborate with cross-functional teams to deliver machine learning projects.
  • Perform feature engineering to improve model accuracy.
  • Troubleshoot model issues and develop solutions quickly.
  • Prepare comprehensive reports on model performance for management.

Requirements

Education
  • Bachelor's degree in Computer Science or related field
  • Master's degree in Data Science or AI preferred
Experience
  • 4+ years of experience in machine learning
Technical Skills
  • Scikit-Learn
  • Keras
Soft Skills
  • Communication
  • Adaptability
Certifications
  • Google Professional Machine Learning Engineer
  • Data Science Professional Certificate
Languages
  • English: Fluent

Advantageous

  • Experience with data visualization tools: Expertise in using tools such as Tableau or Power BI for data presentation.
  • Knowledge of statistics and probability: Solid understanding of statistical methods applicable to machine learning.

Benefits

  • Comprehensive health insurance and wellness programs
  • Employee stock options and retirement savings plans
  • Flexible working options to promote work-life balance
  • Sponsorship for industry conferences and training

Company Culture

  • Continuous Improvement: We are committed to the ongoing development of our employees and organization as a whole.
  • Team Collaboration: Our success hinges on teamwork and sharing knowledge and expertise.
  • Respect and Integrity: We uphold integrity and respect in all our interactions with employees, clients, and partners.
Status: Closed