ML Engineer

Johannesburg FULL TIME R33,333 - R50,000 / Month
(R400,000 - R600,000 / Year)

Job Description

We are seeking a talented ML Engineer to work in our Johannesburg office. The successful applicant will have a strong background in artificial intelligence and machine learning, tasked with designing and implementing robust ML models. If you have a passion for data and a knack for problem-solving, this is the perfect opportunity to grow your career with us.

Responsibilities

  • Implement innovative machine learning algorithms to drive data-driven decision-making.
  • Work closely with data scientists to interpret complex data sets and provide solutions.
  • Create clear documentation to support model development and maintenance.
  • Optimize existing ML models to enhance performance and scalability.
  • Participate in peer code reviews to maintain code quality and consistency.
  • Mentor junior team members and contribute to team knowledge sharing.

Requirements

Education
  • Bachelor’s degree in Data Science or Statistics
  • Master’s degree preferred
Experience
  • 3+ years experience in building ML models and working with large datasets
Technical Skills
  • R Programming
  • Keras
  • Data Visualization
Soft Skills
  • Critical Thinking
  • Adaptability
Certifications
  • Professional Data Engineer Certification
  • Machine Learning Specialization Certificate
Languages
  • English: Fluent

Advantageous

  • Familiarity with Natural Language Processing (NLP): Understanding of NLP techniques for text data analysis.
  • Experience with A/B Testing: Knowledge of A/B testing frameworks to evaluate model performance.

Benefits

  • Full health, dental, and vision coverage.
  • Generous retirement contributions.
  • Possibility for remote work.
  • Continuous learning support and training.
  • Employee wellness initiatives.

Company Culture

  • Continuous Improvement: We believe in continuous learning and improvement as a company and as individuals.
  • Respect and Integrity: We commit to maintaining the highest standards of respect and integrity in our operations.
  • Community Engagement: We actively participate in community initiatives that reflect our corporate values.
Status: Open