Machine Learning Engineer

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

Job Description

We are seeking a talented Machine Learning Engineer to support our AI initiatives. You will be responsible for developing machine learning applications, working on everything from data preprocessing to model evaluation, and collaborating with teams to implement industry-leading AI practices.

Responsibilities

  • Lead the development of advanced predictive models that enhance business decision-making.
  • Collaborate on research projects to explore and implement novel machine learning techniques.
  • Troubleshoot and resolve issues with model deployments in production environments.
  • Engage in code reviews to maintain high code quality and foster a culture of continuous improvement.
  • Mentor junior engineers and data scientists in machine learning best practices.

Requirements

Education
  • Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science)
  • Master's degree in Data Science is highly advantageous
Experience
  • 5+ years of relevant experience in machine learning and data analytics
Technical Skills
  • Machine Learning Frameworks
  • Big Data Technologies
Soft Skills
  • Analytical Thinking
  • Team Player
Certifications
  • AWS Certified Machine Learning
  • Microsoft Certified: Azure AI Engineer Associate
Languages
  • English: Fluent

Advantageous

  • Background in software engineering: Experience in software development, including coding best practices.
  • Familiarity with data visualization tools: Experience with tools like Tableau or Power BI to present data insights.

Benefits

  • Medical, dental, and vision coverage
  • Retirement savings plans with company matchmaking
  • Access to on-site fitness facilities
  • Employee discounts and perks

Company Culture

  • Innovative Mindset: We prioritize innovation in our projects and encourage out-of-the-box thinking.
  • Passion for Technology: Our team shares a passion for technology and its potential to transform the world.
  • Empowerment and Trust: We empower our employees and trust them to make significant contributions.
Status: Closed