Machine Learning Engineer

Johannesburg FULL TIME R50,000 - R58,333 / Month
(R600,000 - R700,000 / Year)

Job Description

As a Machine Learning Engineer at Tech Innovations Inc., you will play a pivotal role in developing and implementing machine learning models that will transform our AI solutions. Your expertise in programming, statistics, and data analysis will be crucial in driving innovative projects to success. Collaborate with cross-functional teams to optimize algorithms and enhance data-driven decision-making processes.

Responsibilities

  • Architect innovative machine learning systems to process and analyze complex datasets.
  • Work on predictive analytics to drive product innovation.
  • Create visualizations to communicate model results to stakeholders.
  • Engage with the research community to stay updated on industry trends.
  • Participate in code reviews to ensure quality and best practices.
  • Mentor junior engineers and contribute to team growth.

Requirements

Education
  • Bachelor's degree in Data Science, Computer Engineering, or equivalent
  • Master's degree in a relevant field is an asset
Experience
  • 3+ years of professional experience in machine learning application
Technical Skills
  • R
  • Scikit-learn
Soft Skills
  • Leadership
  • Communication
Certifications
  • AWS Machine Learning Specialty
  • Data Science Professional Certificate
Languages
  • English: Fluent

Advantageous

  • Experience with natural language processing (NLP): Hands-on experience with NLP techniques and frameworks.
  • Familiarity with distributed computing: Understanding of distributed systems for scalable machine learning.

Benefits

  • Comprehensive health insurance and benefits
  • Work-from-home options available
  • Annual professional development budget
  • Supportive and collaborative company culture

Company Culture

  • Continuous Learning: We prioritize continuous learning and personal growth for our employees.
  • Work-Life Balance: We respect personal time and promote a healthy work-life balance.
  • Community Involvement: We value community service and encourage our employees to participate in outreach programs.
Status: Closed