Machine Learning Engineer

Cape Town Full-time R50,000 - R75,000 / Month
(R600,000 - R900,000 / Year)

Job Description

Join our team as a Machine Learning Engineer and be part of exciting AI innovation! You will develop, test, and deploy machine learning models. The position requires a strong analytical mindset, excellent problem-solving skills, and a passion for AI technology. If you are looking to work in a collaborative and dynamic environment, this is the role for you.

Responsibilities

  • Develop, implement, and validate machine learning models.
  • Analyze datasets and provide insights to improve business outcomes.
  • Facilitate workshops and training sessions for team members.
  • Document processes and create technical reports for stakeholders.

Requirements

Education
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
  • Master's degree preferred
Experience
  • 3-5 years of experience in machine learning or data science roles
Technical Skills
  • Python
  • TensorFlow
  • Scikit-learn
  • SQL
Soft Skills
  • Analytical thinking
  • Team collaboration
Certifications
  • Certified Data Scientist
  • Google Cloud Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Experience with cloud platforms (AWS, Azure): Familiarity with deploying machine learning models on cloud services.
  • Background in Big Data technologies: Experience with Apache Spark or Hadoop is a plus.

Benefits

  • Competitive salary and performance bonuses
  • Medical aid and retirement options
  • Flexible working hours and remote work
  • Opportunities for continuous learning and training

Company Culture

  • Innovative Environment: We foster a culture where innovation is paramount, encouraging our team to think creatively and challenge the status quo.
  • Diversity and Inclusion: We are committed to building a diverse team where everyone's contributions are valued and respected.
  • Continuous Improvement: Our team is dedicated to ongoing personal and professional development, with access to training and resources.
Status: Closed