Machine Learning Engineer

Johannesburg FULL TIME R50,000 - R66,667 / Month
(R600,000 - R800,000 / Year)

Job Description

We are seeking a skilled Machine Learning Engineer to join our dynamic team in Johannesburg. The ideal candidate will have a strong background in machine learning algorithms, data preprocessing, and AI model development. You will be responsible for designing, implementing, and optimizing models that drive impactful solutions for our clients.

Responsibilities

  • Build scalable machine learning models for production environments.
  • Research and implement new algorithms to improve model accuracy.
  • Work with cloud technologies to deploy models in production.
  • Conduct thorough testing and debugging of machine learning applications.
  • Participate in peer code reviews and contribute to team best practices.
  • Assist in the development of data governance policies.

Requirements

Education
  • Bachelor's degree in a quantitative discipline
  • Master's degree in Machine Learning or Data Science is a plus
Experience
  • 5+ years of relevant experience in machine learning
Technical Skills
  • Deep Learning
  • Natural Language Processing
  • SQL
Soft Skills
  • Adaptability
  • Effective Communication
Certifications
  • Professional Data Scientist Certification
  • Certified AI Practitioner
Languages
  • English: Fluent

Advantageous

  • Proficiency in R programming: Experience with R for statistical analysis and data visualization.
  • Familiarity with DevOps practices: Knowledge of CI/CD practices for machine learning project deployments.

Benefits

  • Health, dental and vision insurance for employees and families
  • Retirement savings plan with company match
  • Flexible working hours and remote work options
  • Employee recognition and rewards programs

Company Culture

  • Work-Life Balance: We prioritize work-life balance for our employees, promoting wellness and flexibility.
  • Collaboration: Team collaboration is at the heart of our success, fostering an environment of mutual respect.
  • Community Engagement: We actively engage with our local community through various outreach programs.
Status: Closed