Machine Learning Engineer

Johannesburg FULL TIME R50,000 - R70,833 / Month
(R600,000 - R850,000 / Year)

Job Description

We are seeking a talented Machine Learning Engineer to join our team in Johannesburg. The successful candidate will play a pivotal role in designing and implementing machine learning models, contributing to exciting projects that leverage data to improve decision-making and automate processes.

Responsibilities

  • Develop and maintain scalable machine learning pipelines for large datasets.
  • Collaborate in cross-functional teams to ensure compliance with project timelines.
  • Assist in the development of analytics tools for data analysis.
  • Create visualizations to present model outputs and findings.
  • Identify potential challenges in the data pipeline and propose solutions.
  • Mentor junior team members in machine learning best practices.

Requirements

Education
  • Bachelor's degree in Statistics, Computer Science, Data Science, or related field
  • Master's degree in a relevant field is preferred
Experience
  • 3-5 years of relevant experience in machine learning or data analysis
Technical Skills
  • R Programming
  • SQL
Soft Skills
  • Critical Thinking
  • Team Collaboration
Certifications
  • Certified Data Scientist
  • Microsoft Certified: Azure Data Scientist Associate
Languages
  • English: Fluent
  • Zulu: Basic

Advantageous

  • Experience with Deep Learning Frameworks: Hands-on experience with frameworks like Keras or PyTorch.
  • Understanding of Natural Language Processing: Knowledge and experience in working with NLP techniques.

Benefits

  • Comprehensive health insurance package
  • Generous retirement fund contributions
  • Flexible work arrangements with remote options
  • Support for ongoing learning and training

Company Culture

  • Continuous Learning: We place a strong emphasis on continuous learning and professional development for all employees.
  • Work-Life Balance: We promote a healthy work-life balance, offering flexible working arrangements.
  • Community Engagement: Our team actively participates in community outreach and engagement initiatives.
Status: Closed