ML Engineer

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

Job Description

Join our team as an ML Engineer in Johannesburg, where your technical expertise will contribute to pioneering AI solutions. You will be responsible for developing algorithms, analyzing complex datasets, and providing insights to enhance decision-making processes. The right candidate should be passionate about developing scalable machine learning applications and have experience with cloud platforms. Be part of our journey to drive technological advancement!

Responsibilities

  • Develop predictive models using machine learning techniques.
  • Conduct experiments to validate model assumptions and enhance accuracy.
  • Collaborate closely with the product team to align machine learning initiatives with business objectives.
  • Contribute to the development of AI strategies that benefit various operational areas.
  • Monitor industry trends and provide analysis to drive innovation in methodologies.
  • Engage in continuous learning and professional development opportunities.

Requirements

Education
  • Bachelor's degree in a relevant field
  • Master's degree in Data Science or a related area is advantageous
Experience
  • 2+ years of professional experience in the AI or data science sector
Technical Skills
  • R
  • SQL
Soft Skills
  • Teamwork
  • Time Management
Certifications
  • IBM Data Science Professional Certificate
Languages
  • English: Fluent

Advantageous

  • Knowledge of Natural Language Processing (NLP): Familiarity with NLP techniques for text-based projects.
  • Experience with version control (Git): Understanding of Git for project collaboration and versioning.

Benefits

  • Comprehensive health and wellness benefits
  • Generous leave policies including paid time off
  • Opportunities for continuous learning and certifications
  • Supportive team environment promoting work-life balance

Company Culture

  • Diversity: We celebrate diversity and are committed to creating an inclusive workplace.
  • Work-Life Balance: We promote a healthy work-life balance for all employees.
  • Community Engagement: We actively engage with local communities and support various initiatives.
Status: Open