Machine Learning Engineer

Pretoria FULL TIME R50,000 - R60,000 / Month
(R600,000 - R720,000 / Year)

Job Description

Exciting opportunity for a Machine Learning Engineer to contribute to our AI initiatives in Pretoria. You will work closely with data scientists and software engineers to design and implement machine learning tasks that push our projects to the next level. This role is perfect for someone passionate about artificial intelligence and data-driven decision-making.

Responsibilities

  • Research and implement new machine learning algorithms.
  • Participate in code reviews and provide constructive feedback to peers.
  • Assist in user data collection processes and ensure data quality.
  • Utilize cloud services for model training and deployment.
  • Engage in team meetings to discuss project status and troubleshooting.

Requirements

Education
  • Bachelor's degree in Computer Science, Data Science, or related field
  • Master's degree in Machine Learning or similar field is desired
Experience
  • 3-5 years of experience in machine learning and data analytics
Technical Skills
  • Python
  • TensorFlow
  • Scikit-Learn
  • SQL
  • Data Visualization
Soft Skills
  • Analytical thinking
  • Team collaboration
  • Communication
Certifications
  • Certified Machine Learning Scientist
Languages
  • English: Fluent

Advantageous

  • Experience with cloud platforms (AWS, Azure, or GCP): Familiarity with cloud environments to deploy and manage ML models.
  • Knowledge of big data technologies (Spark, Hadoop): Understanding of big data frameworks for processing large datasets.

Benefits

  • Competitive salary with performance bonuses
  • Medical aid and health insurance
  • Flexible working hours
  • Opportunities for professional development
  • Work-from-home options on occasion

Company Culture

  • Innovation: We encourage innovation and creative thinking to drive solutions that change the industry.
  • Team Spirit: Our team fosters a supportive environment where each member feels valued and empowered.
  • Commitment to Learning: Continuous learning is part of our culture, with resources for professional growth.
Status: Closed