Machine Learning Engineer

Johannesburg FULL TIME R40,000 - R50,000 / Month
(R480,000 - R600,000 / Year)

Job Description

As a Machine Learning Engineer, you will be at the forefront of AI innovation, working on projects that leverage machine learning to enhance user experiences and optimize processes. You should possess strong programming skills, familiarity with data science principles, and a creative approach to integrating machine learning solutions into existing systems.

Responsibilities

  • Engage in cross-functional teamwork to define project scopes and objectives.
  • Evaluate and select appropriate machine learning frameworks and tools.
  • Implement data cleaning and feature engineering techniques for model optimization.
  • Collaborate in Agile methodology to drive project deliverables.
  • Enhance the performance of existing models through tuning and optimization.
  • Participate in research and development to advance AI capabilities.

Requirements

Education
  • Bachelor's degree in Computer Science or a related discipline
  • Master's degree in Artificial Intelligence or Data Science is a strong advantage
Experience
  • 3+ years of experience in practical machine learning projects
Technical Skills
  • R Programming
  • Model Deployment
Soft Skills
  • Innovation
  • Teamwork
Certifications
  • AWS Certified Machine Learning
  • Microsoft Certified: Azure Data Scientist Associate
Languages
  • English: Fluent

Advantageous

  • Knowledge of Natural Language Processing: Experience with NLP techniques and libraries such as NLTK or spaCy.
  • Familiarity with big data technologies: Experience using Spark or Hadoop for analyzing large datasets.

Benefits

  • Attractive salary package with bonuses
  • Health, dental, and vision insurance
  • Remote work options and flexible hours
  • Access to training and workshops

Company Culture

  • Inclusivity: We celebrate diversity and are committed to creating an inclusive environment.
  • Empowerment: We empower our employees to take ownership of their work and contribute to our solutions.
  • Flexibility: We offer flexible work environments that promote a healthy work-life balance.
Status: Open