Machine Learning Engineer

Hobart FULL TIME $100,000 - $125,000 / Year
($8,333 - $10,417 / Month)

Job Description

As a Machine Learning Engineer, your role will involve creating advanced algorithms and models that enable our technology to learn and adapt to new data. The perfect fit will have a solid understanding of AI methodologies and hands-on programming skills.

Responsibilities

  • Design and implement machine learning algorithms and predictive models.
  • Collaborate with team members to define requirements and improve product functionality.
  • Analyze large datasets to extract meaningful insights and build reports.
  • Develop and maintain scalable machine learning applications.
  • Stay updated with the latest AI trends and integrate them into current projects.
  • Conduct model validation and testing to ensure reliability and performance.
  • Troubleshoot and optimize existing machine learning models.

Requirements

Education
  • Bachelor's degree in Computer Science, Data Science, or related field
  • Master's degree preferred
Experience
  • 3+ years of experience in machine learning or related role
Technical Skills
  • Python
  • TensorFlow
  • Pandas
  • scikit-learn
  • SQL
  • Machine Learning Algorithms
Soft Skills
  • Problem-solving
  • Teamwork
  • Communication
Certifications
  • Machine Learning Certification
  • Data Science Professional Certificate
Languages
  • English: Fluent

Advantageous

  • Familiarity with cloud platforms: Understanding of cloud services like AWS or Azure for deploying machine learning models.
  • Experience with deep learning: Knowledge of deep learning architectures and techniques for complex tasks.

Benefits

  • Competitive salary and performance bonuses
  • Health and wellness benefits
  • Flexible work hours and work-from-home options
  • Professional development opportunities

Company Culture

  • Collaboration: We thrive on teamwork and collaboration, bringing together diverse skills and perspectives.
  • Innovation: Our culture fosters innovation, encouraging fresh ideas and creative solutions to challenges.
  • Diversity and Inclusion: We celebrate diversity and are dedicated to creating an inclusive environment for all.
Status: Open