Machine Learning Engineer

Johannesburg Full-time R66,667 - R83,333 / Month
(R800,000 - R1,000,000 / Year)

Job Description

Join our dynamic team as a Machine Learning Engineer. Your role will involve developing robust ML systems, and collaborating with cross-functional teams, ensuring the integration of cutting-edge AI functionalities into our software products.

Responsibilities

  • Design and implement machine learning solutions based on business requirements.
  • Research and evaluate new machine learning techniques.
  • Optimize and fine-tune models for enhanced accuracy.
  • Collaborate on project planning and timeline estimation with cross-functional teams.
  • Advise on best practices for data management and feature engineering.
  • Participate in weekly sprint meetings and contribute to continuous integration efforts.

Requirements

Education
  • Bachelor's degree in Computer Science or related field
  • Master's degree is preferred
Experience
  • 3+ years of experience in machine learning or data science
Technical Skills
  • Python
  • TensorFlow
  • Scikit-Learn
  • Natural Language Processing
  • Data Visualization
Soft Skills
  • Analytical thinking
  • Communication
  • Team Player
Certifications
  • Certified Machine Learning Specialist
  • AWS Certified Machine Learning - Specialty
Languages
  • English: Fluent

Advantageous

  • Experience with reinforcement learning: Knowledge of reinforcement learning algorithms and techniques.
  • Familiarity with cloud infrastructure: Understanding of cloud technologies like AWS or Azure for ML deployment.

Benefits

  • Competitive salary with performance bonuses
  • Health and wellness benefits
  • Flexible working hours and remote work options
  • Professional development opportunities

Company Culture

  • Innovation and Creativity: We encourage innovative thinking and creative problem-solving within our team.
  • Collaboration: A collaborative environment where team members support each other to achieve goals.
  • Diversity and Inclusion: We are committed to fostering a diverse workforce and creating an inclusive workplace.
Status: Open