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 dynamic team in Hobart. The ideal candidate will have experience in developing machine learning models and deploying them in production environments. As part of our team, you will collaborate with data scientists and software engineers to build scalable solutions that can drive business insights.

Responsibilities

  • Create and validate machine learning models using Python and relevant libraries.
  • Analyze and visualize data to support model development.
  • Participate in peer code reviews to uphold code quality.
  • Monitor and troubleshoot ML model performance issues post-deployment.
  • Provide training and support to team members on ML technologies and tools.
  • Contribute to developing AI research papers or reports.

Requirements

Education
  • Bachelor's degree in Data Science, Statistics, or a related discipline
Experience
  • 4+ years of hands-on experience in machine learning projects
Technical Skills
  • R Programming
  • SQL
Soft Skills
  • Problem-solving
  • Leadership
Certifications
  • Google Cloud Professional Machine Learning Engineer
  • IBM Data Science Professional Certificate
Languages
  • English: Fluent

Advantageous

  • Familiarity with Big Data Technologies: Experience using Hadoop, Spark, or similar technologies.
  • Understanding of Natural Language Processing: Experience working with NLP tasks and tools.

Benefits

  • Attractive base salary with performance bonuses
  • Comprehensive health insurance coverage
  • Remote work flexibility
  • Continuous learning and growth initiatives

Company Culture

  • Sustainability Focus: We are dedicated to environmentally sustainable practices in our operations.
  • Community Engagement: We value community involvement and encourage our employees to participate in local initiatives.
  • Employee Empowerment: We empower our employees to take charge of their projects and responsibilities.
Status: Closed