Machine Learning Engineer

Johannesburg FULL TIME R50,000 - R62,500 / Month
(R600,000 - R750,000 / Year)

Job Description

We are seeking a Machine Learning Engineer to join our rapidly evolving team. The successful candidate will use advanced machine learning techniques to develop algorithms and predictive models that contribute to our innovative AI solutions. You will collaborate with a talented group of data scientists and engineers to explore new technologies and optimize existing processes.

Responsibilities

  • Collaborate with data analysts to ensure data quality before feeding models.
  • Engage with software developers to ensure smooth implementation of ML solutions.
  • Participate in peer reviews of models and code to maintain quality standards.
  • Assist in training junior engineers in machine learning techniques.
  • Contribute to the continuous improvement of data-based products.

Requirements

Education
  • Bachelor's degree or equivalent experience in a relevant field
  • Master's degree in AI or Data Science is a definite advantage
Experience
  • Minimum 4 years of experience working with machine learning algorithms
Technical Skills
  • R
  • Keras
  • Apache Spark
Soft Skills
  • Problem-Solving
  • Adaptability
Certifications
  • Google Cloud Professional Data Engineer
  • IBM Data Science Professional Certificate
Languages
  • English: Fluent

Advantageous

  • Experience with deep learning frameworks: Expertise in using deep learning frameworks like TensorFlow and Keras.
  • Familiarity with natural language processing: Experience applying machine learning in NLP projects.

Benefits

  • Comprehensive medical, dental, and vision coverage.
  • 401(k) plan with generous employer match.
  • Flexible work arrangements and remote work options.
  • Wellness programs to promote health and well-being.

Company Culture

  • Continuous Learning: We support ongoing education and skill development for all employees.
  • Flexibility: Emphasizing work-life balance, we offer flexible work schedules to maintain harmony in personal and professional lives.
  • Community Engagement: We actively contribute to community outreach and corporate social responsibility initiatives.
Status: Open