Machine Learning Engineer

Durban FULL TIME R41,667 - R62,500 / Month
(R500,000 - R750,000 / Year)

Job Description

Join our innovative team as a Machine Learning Engineer in Durban, where you will focus on creating scalable machine learning solutions tailored to our clients' needs. This role involves collaborating with data scientists and software engineers to deliver impactful AI solutions. Candidates should have experience with various ML frameworks, data mining, and predictive analytics. If you thrive in a fast-paced environment and want to make a difference with AI, apply today!

Responsibilities

  • Create data processing workflows and templates for model training.
  • Evaluate and select open-source libraries and tools for machine learning.
  • Participate in code reviews and contribute to best practices for ML development.
  • Document processes and maintain clear communication with stakeholders.
  • Assist in training and mentoring junior engineers.

Requirements

Education
  • Bachelor's degree in Data Science, Statistics, or a related field
  • PhD in a relevant field is a plus
Experience
  • 4+ years of experience in machine learning or data science roles.
Technical Skills
  • R
  • Scikit-learn
Soft Skills
  • Problem-solving
  • Communication
Certifications
  • AI & Machine Learning Professional Certificate
  • Certified Data Scientist
Languages
  • English: Fluent

Advantageous

  • Experience with big data technologies (Hadoop, Spark): Knowledge of big data processing frameworks.
  • Familiarity with cloud platforms (AWS, Azure): Experience deploying ML models in cloud environments.

Benefits

  • Competitive salary with performance bonuses.
  • Health insurance coverage.
  • Flexible work hours.
  • Opportunities for professional development.

Company Culture

  • Innovation and Creativity: We encourage creative thinking and innovative approaches to problem-solving.
  • Team Spirit: Our culture promotes teamwork and collaboration across diverse teams.
  • Continuous Improvement: We believe in continuous learning and growth within our team.
Status: Closed