Machine Learning Engineer

Pretoria FULL TIME R40,000 - R60,000 / Month
(R480,000 - R720,000 / Year)

Job Description

We are seeking a talented Machine Learning Engineer who is eager to make an impact in the field of AI. Your role will involve designing algorithms, collaborating with data scientists, and implementing scalable machine learning solutions. If you are passionate about technology and excited to participate in ground-breaking projects, this is the opportunity for you!

Responsibilities

  • Build and maintain robust machine learning pipelines for data processing.
  • Work closely with data engineers to access and analyze historical data.
  • Collaborate in a team environment to innovate and iterate on machine learning applications.
  • Present findings and technical details to stakeholders in an understandable manner.
  • Troubleshoot and enhance existing ML models based on user feedback.
  • Mentor junior engineers and share knowledge across teams.

Requirements

Education
  • Bachelor's degree in Data Science, Statistics, or a related field
  • Master's degree in Data Science or a relevant technical field is a plus
Experience
  • 3+ years of experience in a relevant research or engineering role
Technical Skills
  • R Programming
  • SQL
Soft Skills
  • Creative Thinking
  • Teamwork
Certifications
  • Google Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Experience with cloud platforms like AWS or Azure: Knowledge of deploying and managing machine learning applications in the cloud.
  • Familiarity with MLOps principles: Understanding of machine learning operations to streamline ML workflows.

Benefits

  • Competitive salary with performance bonuses
  • Health and wellness benefits
  • Flexible working hours and remote work options
  • Continuous learning and development opportunities

Company Culture

  • Innovation: We encourage innovation and welcome fresh ideas from all team members.
  • Empowerment: We empower our employees to take initiative and own their projects.
  • Inclusivity: We celebrate diversity and strive for an inclusive workplace culture.
Status: Closed