Machine Learning Engineer

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

Job Description

Join our dynamic team as a Machine Learning Engineer where you'll develop and deploy scalable machine learning models. You will collaborate closely with data scientists and product managers to build applications that leverage our extensive datasets for innovative solutions.

Responsibilities

  • Design and develop machine learning models and algorithms.
  • Analyze and interpret complex datasets to support data-driven decision-making.
  • Collaborate with other engineering teams to integrate machine learning solutions.
  • Conduct experiments to optimize algorithm performance.
  • Stay updated with the latest research in machine learning and AI.
  • Present findings and solutions to stakeholders clearly and concisely.

Requirements

Education
  • Bachelor's degree in Computer Science, Mathematics, or related field
  • Master's degree preferred
Experience
  • 3+ years of experience in machine learning or data science roles
Technical Skills
  • Python
  • TensorFlow
  • Machine Learning Algorithms
  • Data Analysis
Soft Skills
  • Team Collaboration
  • Communication
Certifications
  • Microsoft Certified: Azure Data Scientist Associate
  • Google Professional Machine Learning Engineer
Languages
  • English: Fluent

Advantageous

  • Proven experience with MLOps tools: Experience in streamlining ML model deployment using MLflow or similar tools.
  • Knowledge of reinforcement learning techniques: Hands-on experience with reinforcement learning methods and frameworks.

Benefits

  • Competitive salary with performance bonuses
  • Comprehensive health insurance
  • Opportunities for professional development and training
  • Flexible working hours and potential remote work options

Company Culture

  • Innovation: We foster a culture of innovation where new ideas are supported and encouraged.
  • Team Spirit: Teamwork is essential to us; we work together toward a common goal and celebrate each other's achievements.
  • Learning Opportunities: We encourage continuous learning and provide resources for professional development.
Status: Open