Machine Learning Engineer

Pretoria FULL TIME R50,000 - R66,666 / Month
(R600,000 - R800,000 / Year)

Job Description

Join us as a Machine Learning Engineer, where you'll focus on designing and implementing machine learning models, improving algorithm performance, and working alongside cross-functional teams to integrate AI solutions into existing systems. Your expertise will be critical in our mission to innovate and excel in the technology sector.

Responsibilities

  • Design, implement, and maintain scalable machine learning models.
  • Translate complex business problems into actionable machine learning tasks.
  • Optimize data pipelines for efficiency and robustness.
  • Collaborate with data scientists to refine approaches and methodologies.
  • Participate in code reviews and contribute to a culture of shared learning.
  • Develop visualizations and dashboards to communicate findings from data.

Requirements

Education
  • Bachelor's degree in Mathematics, Computer Science, or related field
  • Master’s degree in a relevant field is an advantage
Experience
  • 3-5 years of hands-on experience with machine learning tools and techniques
Technical Skills
  • R
  • Deep Learning
Soft Skills
  • Problem-solving
  • Effective communication
Certifications
  • Google Cloud Professional Data Engineer
  • Certified Data Scientist
Languages
  • English: Fluent

Advantageous

  • Knowledge of data visualization tools: Experience with tools like Tableau or Power BI.
  • Understanding of natural language processing (NLP): Familiarity with NLP methodologies and libraries.

Benefits

  • Comprehensive health, dental, and vision insurance
  • 401(k) plan with generous employer contribution
  • Flexible work schedules with options for remote work
  • Continuous professional development and training programs

Company Culture

  • Continuous Learning: We support continuous learning and foster a culture of knowledge-sharing.
  • Respect and Integrity: We believe in treating everyone with respect and integrity.
  • Work-Life Balance: We promote a healthy work-life balance for all employees.
Status: Open