Machine Learning Engineer

Johannesburg FULL TIME R50,000 - R75,000 / Month
(R600,000 - R900,000 / Year)

Job Description

We are seeking a skilled Machine Learning Engineer to join our Johannesburg office. In this role, you'll leverage your expertise in machine learning algorithms and data analysis to develop cutting-edge solutions. You'll work closely with data scientists and software engineers to implement models that enhance our product offerings and user experience. This position offers the chance to be part of transformative AI projects.

Responsibilities

  • Develop robust machine learning applications that enhance decision-making processes.
  • Collaborate with the software engineering team to create scalable solutions.
  • Leverage big data technologies for data processing and analysis.
  • Conduct experiments to test the efficacy of different algorithms.
  • Analyze and preprocess data to prepare it for model training.
  • Report findings and analytics to senior management.
  • Contribute to the documentation of processes and best practices.
  • Participate in industry events and share knowledge with the community.

Requirements

Education
  • Bachelor's or Master's degree in Computer Science, Data Science, or relevant field
Experience
  • 4+ years of experience in applied machine learning roles
Technical Skills
  • R
  • Deep Learning
Soft Skills
  • Problem-solving
  • Adaptability
Languages
  • English: Fluent

Advantageous

  • Experience with big data technologies (Hadoop, Spark): Familiarity with tools for processing large datasets.
  • Publication in a relevant domain: Published work in machine learning or data science journals.

Benefits

  • Health insurance options available
  • Annual performance bonuses
  • Work-life balance initiatives
  • Remote work flexibility options

Company Culture

  • Continuous Learning: We believe in continuous professional growth and provide resources for ongoing training.
  • Open Communication: We encourage honest and open dialogue at all levels of the organization.
  • Work-Life Balance: We prioritize our employees' well-being, promoting a healthy work-life balance.
Status: Closed