Machine Learning Engineer

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

Job Description

We are seeking a skilled Machine Learning Engineer to leverage data insights that fuel our technological innovations. You will design and serve machine learning products that address real-world challenges, contributing to a data-driven culture at Tech Innovations Inc.

Responsibilities

  • Research and implement the latest machine learning techniques for improving product offerings.
  • Integrate machine learning models into applications for automated decision-making.
  • Conduct performance tuning and scaling of models based on infrastructure.
  • Collaborate with cross-functional teams for seamless data integration.
  • Ensure compliance with data governance standards.
  • Analyze customer needs and develop appropriate machine learning responses.

Requirements

Education
  • Bachelor's degree in a quantitative field (Computer Science, Mathematics, etc.)
  • PhD in a related field is a plus
Experience
  • 5+ years of professional experience with machine learning algorithms and statistical methods
Technical Skills
  • Scikit-learn
  • Natural Language Processing (NLP)
  • Big Data Technologies
Soft Skills
  • Creative Problem Solving
  • Leadership
Certifications
  • Machine Learning Certification from a recognized institution
Languages
  • English: Fluent

Advantageous

  • Experience with Docker and Kubernetes: Knowledge of containerization technologies.
  • Experience with CI/CD tools: Familiarity with Continuous Integration and Continuous Deployment workflows.

Benefits

  • Health, dental, and vision insurance
  • Pension scheme with company contributions
  • Flexible work arrangements
  • Employee development programs

Company Culture

  • Continuous Learning: We invest in our employees' growth through training and development opportunities.
  • Work-Life Balance: We believe in maintaining a healthy work-life balance for all team members.
  • Empowerment: We empower our employees to take initiative and drive their own projects.
Status: Closed