Machine Learning Engineer

Cape Town Full-time R50,000 - R66,666 / Month
(R600,000 - R800,000 / Year)

Job Description

We are in search of a skilled Machine Learning Engineer to strengthen our AI team in Cape Town. This role requires a solid understanding of machine learning algorithms, data structures, and programming languages, specifically Python. As part of our innovative team, you'll build and deploy machine learning models that drive our products forward.

Responsibilities

  • Develop, test, and deploy scalable machine learning models.
  • Work collaboratively with cross-functional teams to define project scope and expectations.
  • Research and apply the latest advancements in machine learning and AI.
  • Evaluate and improve existing models to enhance accuracy and efficiency.
  • Provide technical support and training to team members on machine learning practices.
  • Ensure compliance with data governance and ethical guidelines in AI development.

Requirements

Education
  • Bachelor's degree in Computer Science, Data Science, or related field
  • Master's degree is an advantage
Experience
  • 3-5 years of experience in machine learning or data science
Technical Skills
  • Python
  • TensorFlow
  • Pandas
Soft Skills
  • Critical thinking
  • Teamwork
Certifications
  • Certified Machine Learning Professional
  • Google AI Professional Certificate
Languages
  • English: Fluent

Advantageous

  • Familiarity with cloud platforms like AWS or Azure: Experience with deploying machine learning models on cloud services for scalability.
  • Knowledge of Big Data technologies: Understanding of Big Data tools such as Hadoop or Spark.

Benefits

  • Competitive salary and performance bonuses
  • Medical aid and wellness programs
  • Flexible working hours
  • Educational assistance and development opportunities

Company Culture

  • Innovation at the Core: We prioritize innovative solutions and encourage creative thinking to advance our projects.
  • Supportive Environment: We support our team members' career growth through mentorship and training.
  • Community Engagement: We are involved in local initiatives and promote a culture of giving back.
Status: Closed