Machine Learning Engineer

Durban FULL TIME R50,000 - R66,666 / Month
(R600,000 - R800,000 / Year)

Job Description

As a Machine Learning Engineer at Tech Innovations Inc., you will be responsible for developing cutting-edge AI solutions that drive business performance. You'll work with large datasets and build algorithms to automate processes and predict outcomes. The ideal candidate will have a solid understanding of machine learning frameworks and will be eager to apply logic and creativity to find solutions.

Responsibilities

  • Research and develop state-of-the-art ML algorithms to solve complex problems.
  • Handle and analyze structured and unstructured data sources.
  • Perform feature engineering and model selection to improve performance.
  • Integrate machine learning models into production systems.
  • Conduct experiments and analyze results to inform future decisions.
  • Collaborate with software development teams for smooth implementation.
  • Create automated scripts and tools for data processing.
  • Assist in troubleshooting and debugging machine learning models.

Requirements

Education
  • Bachelor's degree in a quantitative discipline
  • Advanced degree is preferred
Experience
  • 5+ years of relevant experience in machine learning
Technical Skills
  • R
  • Data Visualization Tools
Soft Skills
  • Problem-solving
  • Collaboration
Certifications
  • AWS Certified Machine Learning
  • Google Cloud Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Background in statistics or mathematics: A strong grounding in statistical concepts that underpin machine learning algorithms.
  • Familiarity with DevOps for ML: Experience in integrating machine learning workflows with DevOps practices.

Benefits

  • Health insurance with family cover
  • Generous leave policy
  • Flexible working arrangements
  • Training and development programs

Company Culture

  • Teamwork: We promote a culture of collaboration and knowledge-sharing across teams.
  • Innovation: Continuous improvement and innovation are at the heart of our operations.
  • Professional Growth: We encourage personal and professional development through ongoing training.
Status: Open