Machine Learning Engineer

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

Job Description

As a Machine Learning Engineer in Cape Town, you will lead projects aimed at building efficient and scalable machine learning applications. Your role will involve exploring new algorithms, optimizing code, and collaborating with cross-functional teams to ensure successful deployment of AI solutions that meet business needs.

Responsibilities

  • Collaborate with product owners to identify use cases for machine learning projects.
  • Prototype and evaluate new machine learning models to assess their feasibility.
  • Utilize cloud platforms for deploying machine learning applications.
  • Participate in the deployment and monitoring of machine learning models in production.
  • Develop and maintain documentation and procedure manuals related to machine learning systems.
  • Advocate for the use of data-driven strategies across the company.

Requirements

Education
  • Bachelor's degree in a quantitative field
  • PhD in a related field is preferred
Experience
  • 5+ years of experience in data science or machine learning roles
Technical Skills
  • R
  • SAS
Soft Skills
  • Problem-solving
  • Communication
Certifications
  • Machine Learning Certification from Coursera
  • Data Science Professional Certificate
Languages
  • English: Fluent

Advantageous

  • Knowledge of Natural Language Processing (NLP): Experience in building NLP applications and models.
  • Familiarity with big data technologies: Experience with frameworks like Hadoop or Spark for large-scale data processing.

Benefits

  • Full medical insurance coverage
  • Attractive bonus structure based on performance
  • Work-from-home options
  • Continuous learning programs and training

Company Culture

  • Life-Work Balance: Recognizing the importance of maintaining balance between personal and professional responsibilities.
  • Growth Mindset: Constantly evolving and seeking knowledge is integral to our team ethos.
  • Supportive Environment: We provide a supportive atmosphere for employees to thrive and express themselves.
Status: Open