Machine Learning Engineer

Pretoria FULL TIME R50,000 - R70,000 / Month
(R600,000 - R850,000 / Year)

Job Description

In this role, you will be responsible for developing and deploying machine learning models in various applications. Your expertise in Python and machine learning frameworks will be essential in contributing to our innovative product line, as well as conducting experiments to refine existing algorithms.

Responsibilities

  • Develop machine learning solutions that address specific business needs.
  • Optimize algorithms for speed and efficiency in handling large datasets.
  • Collaborate with cross-functional teams to ideate and promote innovative solutions.
  • Create analytical reports and presentations to communicate model results and insights.
  • Mentor junior team members in best practices and methodologies.
  • Facilitate workshops and training sessions on machine learning concepts.

Requirements

Education
  • Bachelor's degree in relevant field
  • Master's degree in Data Science preferred
Experience
  • 3+ years of experience in data analytics and machine learning projects
Technical Skills
  • R
  • Statistical Analysis
  • Big Data Technologies
Soft Skills
  • Critical thinking
  • Project Management
Certifications
  • AWS Certified Solutions Architect
  • Certified Analytics Professional (CAP)
Languages
  • English: Fluent

Advantageous

  • Experience with Natural Language Processing (NLP): Knowledge of NLP techniques and frameworks for language processing tasks.
  • Knowledge in model monitoring and management: Familiarity with tools for monitoring and maintaining deployed models.

Benefits

  • Health and wellness programs
  • 401(k) with matching contributions
  • Remote work flexibility
  • Support for continuing education and training

Company Culture

  • Diversity and Inclusion: We strive to create a diverse workplace where all voices are valued.
  • Community Engagement: We are dedicated to giving back to our community through various initiatives.
  • Employee Wellbeing: We prioritize the well-being of our employees with various support programs.
Status: Closed