Machine Learning Engineer

Johannesburg FULL TIME R50,000 - R66,667 / Month
(R600,000 - R800,000 / Year)

Job Description

We are seeking a Machine Learning Engineer to join our team in Johannesburg. The ideal candidate will have a strong foundation in machine learning frameworks and algorithms, as well as experience in implementing scalable machine learning models. This role offers an opportunity to work on innovative projects, leveraging big data to enhance AI solutions.

Responsibilities

  • Develop and maintain machine learning systems that support business objectives.
  • Collaborate with engineering teams to integrate AI technologies into existing systems.
  • Assist in the creation of data pipelines for efficient data processing.
  • Evaluate and refine algorithms to improve accuracy and efficiency.
  • Document processes and algorithms to maintain a comprehensive knowledge base.
  • Participate in regular team meetings to share knowledge and ideas.

Requirements

Education
  • Bachelor's degree in Computer Science, Data Science, or related field
  • Master's degree in a relevant field is a plus
Experience
  • 4+ years of demonstrated experience in machine learning
Technical Skills
  • Python
  • Keras
Soft Skills
  • Critical thinking
  • Adaptability
Certifications
  • Google Cloud Professional Machine Learning Engineer
  • Certified Data Engineer
Languages
  • English: Fluent

Advantageous

  • Familiarity with MLOps: Understanding of MLOps practices for production model deployment.
  • Experience with data visualization tools: Experience with tools such as Tableau or PowerBI for visual analytics.

Benefits

  • Competitive salary and performance bonuses
  • Medical aid coverage
  • Flexible working hours
  • Ability to work remotely some days

Company Culture

  • Commitment to Innovation: We foster creativity and strive to remain ahead in technology through innovative solutions.
  • Supportive Management: Our management team supports employees' ideas and encourages feedback.
  • Employee Wellness: We prioritize wellness programs that enhance work-life balance.
Status: Open