Machine Learning Engineer

Cape Town FULL TIME R50,000 - R75,000 / Month
(R600,000 - R900,000 / Year)

Job Description

We are looking for a skilled Machine Learning Engineer to join our vibrant team in Cape Town. The ideal candidate will have experience in designing, implementing, and deploying machine learning models to solve real-world problems. You will work closely with data scientists and software engineers to develop innovative solutions and contribute to project success.

Responsibilities

  • Implement cutting-edge algorithms for data analysis and pattern recognition.
  • Collaborate on cross-functional projects involving diverse data sources.
  • Explore and experiment with new machine learning techniques and tools.
  • Facilitate workshops and knowledge-sharing sessions with team members.
  • Prepare detailed reports on model performance and future improvements.
  • Actively contribute to a culture of continuous learning and improvement.

Requirements

Education
  • Bachelor's in Computer Science, Data Science, or related field
  • Master's or PhD is preferred
Experience
  • 3-5 years of experience in AI and machine learning roles
Technical Skills
  • R
  • Deep Learning
  • Big Data Technologies
Soft Skills
  • Adaptability
  • Leadership
Certifications
  • Microsoft Certified: Azure Data Scientist Associate
Languages
  • English: Fluent

Advantageous

  • Familiarity with DevOps practices: Understanding of CI/CD practices and how they apply to ML workflows.
  • Experience with reinforcement learning: Knowledge of reinforcement learning techniques and applications.

Benefits

  • Comprehensive health and wellness benefits
  • Retirement plan contributions
  • Opportunities for remote work and flexible scheduling
  • Continuous learning and training programs

Company Culture

  • Diversity and Inclusion: We are committed to building a diverse workforce and fostering an inclusive environment for all.
  • Work-Life Balance: We value work-life balance and offer flexible arrangements to support it.
  • Positive Work Atmosphere: Our office culture promotes positivity, respect, and support among colleagues.
Status: Closed