ML Engineer

Stellenbosch FULL TIME R50,000 - R66,666 / Month
(R600,000 - R800,000 / Year)

Job Description

We are in search of a proficient Systems Administrator to join our vibrant IT team. This role involves managing and maintaining IT infrastructure, ensuring optimal performance while providing technical support to our users. The ideal candidate will have experience in server management, network security, and system updates. The focus will be on troubleshooting and enhancing system performance.

Responsibilities

  • Design, build, and maintain machine learning models and systems.
  • Collaborate with data analysts to interpret complex datasets.
  • Optimize existing algorithms for performance and accuracy.
  • Research and implement state-of-the-art machine learning techniques and algorithms.
  • Support data pipeline and model deployment in production environments.
  • Participate in code reviews to ensure best practices are followed.

Requirements

Education
  • Bachelor's degree in Computer Science or a related discipline
  • Master's degree in Machine Learning or Data Science is a plus
Experience
  • 5+ years of experience in the field of machine learning
Technical Skills
  • Machine Learning Algorithms
  • Deep Learning
Soft Skills
  • Adaptability
  • Communication
Certifications
  • Certified Data Professional (CDP)
  • AWS Certified Machine Learning - Specialty
Languages
  • English: Fluent

Advantageous

  • Familiarity with big data technologies: Exposure to technologies like Hadoop and Spark for handling large datasets.
  • Experience with MLOps: Knowledge of operations and deployment processes in machine learning.

Benefits

  • Comprehensive health and wellness programs
  • Employee stock options
  • Work-life balance initiatives
  • Flexible work hours and remote work options

Company Culture

  • Collaboration: We encourage a collaborative environment where each team member's input is valued.
  • Innovation: Our culture is built around embracing new ideas and continuous improvement.
  • Inclusivity: We take pride in our diverse team and ensure everyone feels included and valued.
Status: Open