Machine Learning Engineer

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

Job Description

As a Machine Learning Engineer at Tech Innovations Inc., you will play a key role in designing and implementing machine learning algorithms that enhance our product offerings. We're looking for someone who thrives in collaborative environments and has a knack for turning complex problems into actionable solutions.

Responsibilities

  • Identify opportunities for machine learning within the company’s existing products.
  • Collaborate with product managers to define project requirements and deliverables.
  • Implement best practices for data governance and security.
  • Engage in peer reviews and quality assurance of machine learning models.
  • Develop user-friendly tools for non-technical stakeholders to utilize ML models.
  • Participate in hackathons and research projects to drive innovation within the company.

Requirements

Education
  • Bachelor's degree in Computer Science or a related field
  • Master's in Data Science is an advantage
Experience
  • 5+ years of experience working with machine learning algorithms
Technical Skills
  • Deep Learning
  • R
Soft Skills
  • Creativity
  • Time Management
Certifications
  • Certified Data Scientist
  • Google Cloud Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Understanding of reinforcement learning: Familiarity with reinforcement learning concepts is a plus.
  • Experience with Natural Language Processing (NLP): Knowledge of NLP techniques and libraries.

Benefits

  • Competitive salary and performance bonuses
  • Health, dental, and vision plans
  • Flexible work hours and remote work options
  • Professional development opportunities
  • Employee wellness initiatives

Company Culture

  • Innovation: We prioritize innovative thinking and encourage our team members to share their ideas and perspectives.
  • Collaboration: We believe in strong collaboration across teams to achieve the best outcomes.
  • Diversity and Inclusion: We celebrate diversity and strive to create an inclusive workplace where everyone belongs.
Status: Open