Machine Learning Engineer

Richards Bay FULL TIME R33,333 - R50,000 / Month
(R400,000 - R600,000 / Year)

Job Description

As a Machine Learning Engineer at Tech Innovations Inc., your primary responsibility will be to design and implement machine learning algorithms tailored to meet business needs. You will engage in end-to-end machine learning processes from data collection, cleaning, and processing to model development and deployment. This position is perfect for those eager to make a significant impact in the AI field and work on exciting projects.

Responsibilities

  • Research and implement new machine learning algorithms.
  • Enhance existing models based on feedback and performance metrics.
  • Collaborate with software engineers to integrate machine learning into applications.
  • Design and execute A/B testing for model validation.
  • Maintain awareness of industry trends and best practices.
  • Support data engineering efforts for model input and system outputs.
  • Optimise data loading and processing for efficiency.
  • Present findings and models to stakeholders for review.

Requirements

Education
  • Bachelor's degree in Data Science, Mathematics, or a related field
  • Postgraduate qualifications are advantageous
Experience
  • 3-7 years of practical experience in machine learning
Technical Skills
  • R
  • Pandas
  • SQL
Soft Skills
  • Teamwork
  • Problem-solving
Certifications
  • Google Machine Learning Crash Course
  • AWS Certified Machine Learning
Languages
  • English: Fluent

Advantageous

  • Familiarity with data visualization tools (Tableau): Skilled at creating insightful dashboards for data interpretation.
  • Experience with Natural Language Processing (NLP): Background in NLP models for text analysis and understanding.

Benefits

  • Comprehensive healthcare package.
  • Annual training and conference budget.
  • Remote work flexibility.
  • Support for continuous learning.

Company Culture

  • Diversity: We celebrate diverse backgrounds and perspectives, enhancing our workplace.
  • Professional Growth: Continuous learning opportunities encourage our teams to evolve.
  • Pioneering Technology: We harness cutting-edge technology to remain industry leaders.
Status: Open