Machine Learning Engineer

Johannesburg Full-time R50,000 - R66,667 / Month
(R600,000 - R800,000 / Year)

Job Description

As a Machine Learning Engineer at Tech Innovations Inc., you will focus on designing and implementing scalable machine learning solutions. Your role will involve working closely with cross-functional teams to brainstorm and deliver data-driven insights, optimizing our AI systems to ensure they're effective and reliable. If you have a knack for problem-solving and a passion for tech, we'd love to hear from you!

Responsibilities

  • Design algorithms and systems for machine learning applications.
  • Work closely with product teams to define problem statements and deliver solutions.
  • Present findings and model performance results to stakeholders clearly and effectively.
  • Optimize data pipeline processes for algorithm efficiency and accuracy.
  • Conduct peer reviews of ML models and code.
  • Proactively identify areas for improvement in our AI system frameworks.

Requirements

Education
  • Bachelor's degree in Computer Science, Mathematics, or a related field
  • Master's degree is an advantage
Experience
  • 3-5 years of experience in machine learning or data science roles
Technical Skills
  • Python
  • TensorFlow
  • R
Soft Skills
  • Critical thinking
  • Effective communication
Certifications
  • Certified Machine Learning Specialist
  • Google Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Experience with natural language processing (NLP): Knowledge of NLP techniques to enhance applications.
  • Familiarity with big data technologies: Experience with Hadoop, Spark, or similar tools.

Benefits

  • Competitive salary and performance bonuses
  • Medical aid and wellness programs
  • Opportunities for professional development
  • Flexible working hours

Company Culture

  • Innovation: We encourage team members to think creatively and innovate.
  • Diversity: We celebrate diverse perspectives and experiences in our workforce.
  • Learning Environment: We foster an environment where continuous learning is prioritized.
Status: Closed