Machine Learning Engineer

Durban Full-time R33,333 - R58,333 / Month
(R400,000 - R700,000 / Year)

Job Description

We are looking for a talented Machine Learning Engineer to join our dynamic team in Durban. You will be responsible for designing and implementing machine learning algorithms and models that address real-world problems. The ideal candidate will have a strong foundation in data science and a passion for AI advancements. You'll be collaborating with cross-functional teams to ensure our systems are efficient and scalable.

Responsibilities

  • Collaborate with stakeholders to define project objectives and deliverables.
  • Implement solutions that address business challenges through machine learning.
  • Monitor model performance in production and iterate as necessary.
  • Present findings and recommendations to both technical and non-technical audiences.

Requirements

Education
  • Bachelor's degree in Computer Science or a related field
  • Master's degree in Data Science or Machine Learning is preferred
Experience
  • 3+ years of hands-on experience in machine learning
Technical Skills
  • Python
  • Keras
  • R
Soft Skills
  • Team collaboration
  • Time management
Certifications
  • Google Professional Machine Learning Engineer
  • Microsoft Certified: Azure Data Scientist Associate
Languages
  • English: Fluent

Advantageous

  • Experience with Docker and containerization: Hands-on knowledge of Docker for containerizing applications.
  • Understanding of edge computing: Familiarity with edge computing concepts and applications.

Benefits

  • Comprehensive health insurance
  • Retirement savings plan with employer contribution
  • Ongoing professional development opportunities
  • Work-life balance initiatives
  • Collaboration with top industry talent

Company Culture

  • Teamwork: We believe in the power of collaboration and teamwork to achieve shared goals.
  • Work-Life Balance: We prioritize work-life balance to ensure our employees are happy and productive.
  • Recognition and Rewards: Our employees' contributions are recognized and rewarded, fostering a positive workplace.
Status: Closed