ML Engineer

Johannesburg Full-time R50,000 - R65,000 / Month
(R600,000 - R780,000 / Year)

Job Description

We're on the lookout for an ML Engineer passionate about artificial intelligence and machine learning. The ideal candidate will develop ML models and create data-driven solutions that enhance our products and services. Strong analytical skills and a proactive approach are essential.

Responsibilities

  • Create and optimize machine learning algorithms for real-time applications.
  • Conduct exploratory data analysis to inform the model design process.
  • Work alongside cross-functional teams to deploy machine learning solutions.
  • Ensure models are efficient, scalable, and robust against various data inputs.
  • Document processes and code for knowledge sharing within the team.
  • Implement strategies for model validation and performance testing.
  • Engage in continuous learning to improve skills and adapt to new technologies.

Requirements

Education
  • Bachelor's degree in Mathematics, Statistics, Computer Science, or related field
  • Master's degree in Data Science or a closely related field is beneficial
Experience
  • 5+ years of experience as an ML Engineer with a track record of successful projects
Technical Skills
  • R Programming
  • Deep Learning
Soft Skills
  • Creative Thinking
  • Adaptability
Certifications
  • Certified Analytics Professional (CAP)
  • Google Cloud Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Experience in DevOps practices: Understanding of how to incorporate DevOps in ML pipelines.
  • Published Research in AI/ML: Any academic or professional publications that showcase your expertise.

Benefits

  • Medical aid cover and wellness programs
  • Annual bonus based on performance
  • Flexible working hours and remote work opportunities
  • Professional development and certification programs

Company Culture

  • Diversity and Inclusion: We value diversity and believe in creating an inclusive environment for all.
  • Learning Environment: Where continuous learning is supported and encouraged.
  • Community Engagement: We actively engage with the community and contribute positively.
Status: Open