Machine Learning Engineer

Johannesburg Full-time R50,000 - R66,667 / Month
(R600,000 - R800,000 / Year)

Job Description

As a Machine Learning Engineer at Tech Innovations Inc., you will lead projects that leverage AI to improve processes and outcomes across various sectors. You'll collaborate with data scientists and software developers to create innovative solutions that solve real-world problems. The ideal candidate will possess strong programming skills and a passion for machine learning.

Responsibilities

  • Create end-to-end machine learning pipelines for various applications.
  • Collaborate with software engineers to deploy models into production.
  • Refine and optimize algorithms to improve system performance.
  • Conduct user testing and feedback sessions to iterate on solutions.
  • Provide technical guidance and mentorship to junior engineers.
  • Contribute to code reviews and uphold high coding standards.

Requirements

Education
  • Bachelor's degree in Mathematics, Statistics, or a similar field
  • Master's degree is advantageous
Experience
  • 4-6 years of experience in machine learning with a strong portfolio.
Technical Skills
  • R
  • Deep Learning
Soft Skills
  • Communication
  • Problem-solving
Certifications
  • Google Cloud Professional Data Engineer
  • Microsoft Certified: Azure Data Scientist Associate
Languages
  • English: Fluent

Advantageous

  • Experience with reinforcement learning: Understanding of reinforcement learning methods and their application.
  • Proficiency in cloud platforms: Experience with AWS or Azure for deploying machine learning models.

Benefits

  • Comprehensive medical and dental plans
  • Generous leave policies
  • Employee education reimbursement
  • Access to training and certifications

Company Culture

  • Diversity and Inclusion: We celebrate diversity and strive to create an inclusive culture where everyone contributes to innovation.
  • Community Engagement: We believe in giving back to our community, and encourage our employees to participate in social responsibility initiatives.
Status: Closed