Machine Learning Engineer

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

Job Description

We are on the lookout for a Machine Learning Engineer who is passionate about artificial intelligence and data-driven solutions. The ideal candidate will have a solid understanding of machine learning algorithms and frameworks, ready to innovate and solve complex challenges.

Responsibilities

  • Research and implement state-of-the-art machine learning algorithms.
  • Perform feature selection and engineering for enhanced model accuracy.
  • Collaborate with product teams to identify potential AI applications.
  • Optimize and troubleshoot existing machine learning models.
  • Create user-friendly dashboards to visualize model performance.
  • Engage in peer reviews and contribute to code repositories.

Requirements

Education
  • Bachelor's degree in Computer Science, Data Science, or a related field
  • Master's degree is an advantage
Experience
  • 3+ years of experience in machine learning or AI-related roles
Technical Skills
  • Python
  • TensorFlow
  • Scikit-learn
  • SQL
  • Machine Learning Algorithms
Soft Skills
  • Analytical Thinking
  • Team Collaboration
  • Communication
Certifications
  • Certified Data Scientist
  • Machine Learning Certification from Coursera
Languages
  • English: Fluent

Advantageous

  • Experience with Big Data Technologies: Familiarity with Big Data tools such as Hadoop and Spark.
  • Knowledge of Cloud Platforms: Experience with cloud services like AWS or Azure for deploying ML models.

Benefits

  • Comprehensive health coverage
  • Retirement savings plan with company matching
  • Flexible working hours
  • Opportunity for remote work
  • Professional development and training programs

Company Culture

  • Innovation: We cultivate an environment where creativity and innovation are at the forefront of our operations.
  • Diversity and Inclusion: Our workplace is committed to diversity and fostering an inclusive atmosphere for all employees.
  • Continuous Learning: We encourage personal and professional growth through ongoing learning opportunities.
Status: Closed