Machine Learning Engineer

Johannesburg FULL TIME R41,667 - R58,333 / Month
(R500,000 - R700,000 / Year)

Job Description

As a Machine Learning Engineer, you will play a crucial role in designing and implementing machine learning models to solve real-world problems. Our ideal candidate will bring hands-on experience with machine learning frameworks and a passion for innovation in the tech space.

Responsibilities

  • Develop machine learning solutions that address business challenges.
  • Utilize machine learning frameworks and libraries such as TensorFlow and Scikit-Learn.
  • Collaborate closely with engineering teams to implement machine learning solutions into production.
  • Conduct experiments to test model hypotheses and refine algorithm performance.
  • Build and maintain documentation to support model development and usage.
  • Mentor junior team members in machine learning best practices.

Requirements

Education
  • Bachelor's degree in Computer Science, Data Science, or related field
  • Master's degree is an advantage
Experience
  • 3+ years of practical experience in machine learning or data science
Technical Skills
  • Python
  • TensorFlow
  • Scikit-Learn
  • Data Analysis
Soft Skills
  • Analytical Thinking
  • Team Collaboration
Certifications
  • Certified Machine Learning Specialist
  • AWS Certified Machine Learning – Specialty
Languages
  • English: Fluent

Advantageous

  • Familiarity with Deep Learning frameworks: Experience in using frameworks such as Keras for deep learning applications.
  • Experience with Cloud Services: Familiar with AWS, GCP, or Azure for deploying machine learning models.

Benefits

  • Competitive salary and performance bonuses
  • Health and wellness benefits
  • Opportunity for remote work flexibility
  • Professional development and training opportunities

Company Culture

  • Innovation: We encourage a culture of innovation and creativity, where everyone’s ideas are valued.
  • Teamwork: We believe in teamwork and collaboration to achieve our goals together.
  • Learning and Growth: We support and invest in personal and professional growth for all employees.
Status: Closed