Machine Learning Engineer

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

Job Description

We are on the hunt for a Machine Learning Engineer to join our vibrant team in Durban. The successful candidate will leverage their expertise to build machine learning models that will help solve real-world problems. You will collaborate with data scientists and software engineers to create impactful AI solutions, ensuring high standards of quality and performance.

Responsibilities

  • Create predictive models to solve business problems.
  • Collaborate with data teams to enhance data quality.
  • Perform exploratory data analysis and feature engineering.
  • Monitor model performance and retrain as necessary.
  • Actively contribute to an innovative and collaborative team environment.
  • Facilitate workshops and training for team members on machine learning concepts.

Requirements

Education
  • Bachelor's degree in Computer Science or equivalent
  • Master's degree in Data Science or related field preferred
Experience
  • 3+ years of hands-on experience in machine learning projects
Technical Skills
  • Python
  • R
Soft Skills
  • Creative Problem Solving
  • Teamwork
Certifications
  • Microsoft Certified: Azure Data Scientist Associate
  • Certified Data Scientist
Languages
  • English: Fluent

Advantageous

  • Experience in Natural Language Processing: Familiarity with NLP techniques and libraries for text analysis.
  • Experience with MLOps: Knowledge of MLOps tools for managing machine learning lifecycle.

Benefits

  • Health insurance and wellness programs
  • Annual performance bonuses
  • Work-from-home options available
  • Reimbursement for professional certifications

Company Culture

  • Diversity and Inclusion: We cherish diversity and are dedicated to creating an inclusive workforce.
  • Work-Life Balance: We prioritize a healthy work-life balance for our employees.
  • Community Involvement: Our company is actively involved in community service and outreach programs.
Status: Closed