Machine Learning Engineer

Hobart Full-time $100,000 - $120,000 / Year
($8,333 - $10,000 / Month)

Job Description

We are seeking a passionate Machine Learning Engineer to join our team in Hobart. The successful candidate will work on cutting-edge AI projects, applying advanced machine learning techniques to solve real-world problems. You will be responsible for designing, implementing, and optimizing complex machine learning models, contributing to projects that drive innovation in various sectors. If you have a strong background in data analysis and algorithm development, we want to hear from you!

Responsibilities

  • Research and apply state-of-the-art techniques in machine learning.
  • Collaborate with the product team to integrate machine learning features.
  • Perform exploratory data analysis to guide model development.
  • Prepare and present reports on model performance and findings to stakeholders.
  • Mentor junior engineers and help foster a culture of learning in the team.

Requirements

Education
  • Bachelor's degree in Computer Science or a related field
  • Master's degree in AI or Machine Learning is an advantage
Experience
  • 3-5 years of experience in developing machine learning models
Technical Skills
  • Deep Learning
  • Natural Language Processing (NLP)
Soft Skills
  • Time Management
  • Critical Thinking
Certifications
  • Machine Learning Specialization
  • Certified Data Scientist
Languages
  • English: Fluent

Advantageous

  • Experience with big data technologies: Familiarity with Hadoop or Spark for data processing at scale.
  • Knowledge of version control systems: Proficient with Git for code management.

Benefits

  • Comprehensive health insurance and wellness incentives
  • 401(k) retirement plan with company matching
  • Generous paid time off and holidays
  • Support for continuous learning and professional growth

Company Culture

  • Continuous Improvement: We promote a culture of learning and growth for all employees.
  • Work-Life Balance: We believe in maintaining a healthy work-life balance for all team members.
Status: Closed