Machine Learning Engineer

Johannesburg FULL TIME R50,000 - R66,667 / Month
(R600,000 - R800,000 / Year)

Job Description

We are on the lookout for a Machine Learning Engineer to join our enthusiastic team. In this role, you will work on developing and implementing machine learning algorithms that power our AI-driven solutions, contributing to strategies that enhance performance and efficiency.

Responsibilities

  • Design and develop machine learning models that drive innovation.
  • Collaborate with data engineers and other stakeholders to gather requirements.
  • Utilize data preprocessing techniques to ensure quality input for models.
  • Evaluate models and refine algorithms based on performance metrics.
  • Implement model deployment and monitoring for production-ready systems.
  • Keep up to date with the latest machine learning research and trends.

Requirements

Education
  • Bachelor's degree in Computer Science or equivalent
  • Master's degree in AI/ML or related field is a plus
Experience
  • 3-5 years in data analysis or machine learning
Technical Skills
  • Deep Learning frameworks (e.g., Keras)
  • Pandas
Soft Skills
  • Critical Thinking
  • Project Management
Certifications
  • Google Professional Data Engineer
  • Microsoft Azure Data Scientist
Languages
  • English: Fluent

Advantageous

  • Experience with cloud services (AWS, Azure): Proficiency in deploying models on cloud platforms like AWS or Azure.
  • Knowledge of big data technologies (Hadoop, Spark): Experience with tools that manage and process large datasets.

Benefits

  • Comprehensive health insurance plans
  • Retirement savings plan with company contribution
  • Work-life balance initiatives including flexible hours
  • Professional development resources

Company Culture

  • Innovation: We encourage fresh ideas and innovative approaches from all team members.
  • Team Spirit: Collaboration and team cohesion are at the heart of our operations.
  • Diversity and Inclusion: We celebrate varied backgrounds and perspectives within our workforce.
Status: Open