Machine Learning Engineer

Johannesburg FULL TIME R50,000 - R66,667 / Month
(R600,000 - R800,000 / Year)

Job Description

We are searching for a talented Machine Learning Engineer to join our team in Johannesburg. This individual will play a pivotal role in developing and implementing AI models to solve complex business problems. The ideal candidate should have a solid foundation in machine learning algorithms, data analysis, and statistical methods.

Responsibilities

  • Lead machine learning projects from conception through implementation.
  • Utilize statistical analysis to inform ML model development.
  • Communicate findings and recommendations to both technical and non-technical audiences.
  • Develop data pipelines for real-time data processing and analysis.
  • Participate in code reviews and contribute to team improvements.
  • Ensure compliance with data privacy regulations and ethical standards in AI.

Requirements

Education
  • Bachelor's degree in Computer Science, Data Science, or related field
  • Master's degree in a related field is preferred
Experience
  • 3-5 years of experience working with machine learning algorithms
Technical Skills
  • R Programming
  • Keras
Soft Skills
  • Team Collaboration
  • Time Management
Certifications
  • Google Professional Machine Learning Engineer
  • TensorFlow Developer Certificate
Languages
  • English: Fluent

Advantageous

  • Knowledge of Big Data technologies: Hands-on experience with Big Data tools such as Hadoop or Spark.
  • Experience in data engineering: Skills in building and optimizing ETL processes for data pipelines.

Benefits

  • Attractive salary package with bonuses
  • Health, dental, and vision coverage
  • Remote work options available
  • Supportive and inclusive company culture

Company Culture

  • Diversity and Inclusion: We strive for a diverse workforce and actively promote inclusivity across all levels.
  • Work-Life Balance: We believe in maintaining a healthy work-life balance, offering flexible work arrangements.
  • Community Engagement: We are committed to giving back to the community and support various initiatives.
Status: Closed