Machine Learning Engineer

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

Job Description

As a Machine Learning Engineer at Tech Innovations Inc., you will harness the power of AI to create cutting-edge algorithms and predictive models. Your expertise will contribute to developing innovative solutions that optimize business processes in various industries. Join our dynamic team and be a part of the AI revolution in Johannesburg.

Responsibilities

  • Implement end-to-end machine learning pipelines from data ingestion to model deployment.
  • Conduct thorough testing and validation of machine learning solutions.
  • Identify areas for improvement and propose innovative solutions.
  • Collaborate in an Agile environment to drive projects forward.
  • Communicate complex concepts effectively to diverse audiences.
  • Contribute to open-source ML projects and engage with the community.

Requirements

Education
  • Bachelor's degree in Computer Science, Mathematics, or a related field
  • Master's degree in Data Science is an advantage
Experience
  • 3+ years of experience in applying machine learning techniques
Technical Skills
  • Python
  • Deep Learning
  • Natural Language Processing
  • Data Mining
Soft Skills
  • Critical thinking
  • Project Management
Certifications
  • Google Cloud Professional Data Engineer
  • Data Science Certification from a recognized institution
Languages
  • English: Fluent

Advantageous

  • Familiarity with reinforcement learning techniques: Experience in applying reinforcement learning models to real-world problems.
  • Experience in building APIs for ML models: Knowledge of how to deploy models and build APIs for integration.

Benefits

  • Full health, dental, and vision coverage
  • Generous leave policies including parental leave
  • Annual training budget for courses and conferences
  • Wellness initiatives and staff outings

Company Culture

  • Continuous Improvement: We focus on ongoing learning and improvement, encouraging staff to upskill and innovate.
  • Team Spirit: We promote a strong sense of unity and teamwork within our organization.
  • Work-Life Balance: We believe in keeping a healthy balance between work and personal life for all employees.
Status: Closed