Machine Learning Engineer

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

Job Description

Join Tech Innovations as a Machine Learning Engineer in Johannesburg. We are searching for passionate individuals who excel in developing and deploying machine learning models. You will work closely with data scientists and software engineers to drive AI solutions that impact real-world challenges. Your role will involve assessing business needs, data preparation, model training, and performance tuning to ensure high-quality solutions. If you're ready to shape the future of AI tech, we'd love to hear from you.

Responsibilities

  • Create predictive models and machine learning algorithms to improve performance metrics.
  • Analyze large data sets to derive actionable insights.
  • Work cross-functionally to design and run experiments that inform product features.
  • Troubleshoot machine learning applications and refine methodologies.
  • Mentor junior data engineers and interns, providing guidance on best practices.

Requirements

Education
  • Bachelor's degree in Mathematics, Statistics, or Computer Science
  • Master's degree preferred
Experience
  • 3-5 years of experience in a machine learning role
Technical Skills
  • R Programming
  • Deep Learning
Soft Skills
  • Communication
  • Adaptability
Certifications
  • Data Science Certification
  • Certified Machine Learning Specialist
Languages
  • English: Fluent

Advantageous

  • Knowledge of Natural Language Processing: Experience in applying NLP techniques for text data analysis.
  • Familiarity with Graphical Models: Understanding of Bayesian networks and Markov models for probabilistic reasoning.

Benefits

  • Competitive salary and performance bonuses
  • Paid time off and sick leave
  • Health insurance coverage
  • Work-from-home flexibility when needed
  • Professional development opportunities

Company Culture

  • Diversity and Inclusion: Committed to creating an inclusive environment where all team members feel valued and respected.
  • Work-Life Balance: Prioritize the well-being of our employees through flexible scheduling and mental health support.
Status: Open