ML Engineer

Johannesburg FULL TIME R41,667 - R58,333 / Month
(R500,000 - R700,000 / Year)

Job Description

As an ML Engineer based in Johannesburg, you will have the opportunity to work on exciting machine learning and AI projects that make a tangible impact. Your role will involve developing algorithms, optimizing ML models, and collaborating with cross-functional teams to enhance our product offerings. If you are eager to push the boundaries of technology, we want to meet you.

Responsibilities

  • Explore and apply new ML techniques to enhance existing systems.
  • Engage with stakeholders to gather requirements and deliver solutions that meet business needs.
  • Create reproducible research and project documentation.
  • Mentor interns and junior engineers in machine learning best practices.
  • Participate in code reviews and contribute to continuous improvement initiatives.

Requirements

Education
  • Bachelor's degree in Computer Science, Data Science, or related field
  • Master's degree in a relevant field is an advantage
Experience
  • 3+ years of experience in machine learning roles
Technical Skills
  • Deep Learning
  • Data Visualization
Soft Skills
  • Critical Thinking
  • Adaptability
Certifications
  • Google Cloud Professional Data Engineer
  • AWS Certified Machine Learning
Languages
  • English: Fluent

Advantageous

  • Understanding of data engineering principles: Knowledge of data pipelines and ETL processes.
  • Familiarity with reinforcement learning: Experience in developing algorithms based on reinforcement learning techniques.

Benefits

  • Competitive salary package
  • Medical, dental, and vision benefits
  • Generous vacation and leave policy
  • Opportunities for professional growth
  • Employee wellness initiatives

Company Culture

  • Employee Empowerment: We empower our employees to take the initiative and make important contributions to projects.
  • Diversity and Inclusiveness: We celebrate diversity and aim to build a team that reflects various backgrounds and experiences.
  • Continuous Learning: We believe in ongoing education and provide resources for skill development and learning opportunities.
Status: Open