Machine Learning Engineer

Johannesburg FULL TIME R41,667 - R66,667 / Month
(R500,000 - R800,000 / Year)

Job Description

We are seeking a talented Machine Learning Engineer to join our innovative team in Johannesburg. The selected candidate will leverage their expertise in machine learning algorithms and data modeling to develop intelligent systems that improve operational efficiency and drive business outcomes. If you are passionate about AI and eager to work on transformative projects, we would love to hear from you!

Responsibilities

  • Collaborate on ML model creation and deployment strategies.
  • Perform thorough data analysis to identify patterns and correlations.
  • Test and validate models to ensure reliability and efficiency.
  • Engage with stakeholders to refine project goals and expectations.
  • Mentor junior engineers in machine learning best practices.
  • Stay updated with the latest research in machine learning methodologies.

Requirements

Education
  • Bachelor's degree in Mathematics, Statistics, or a related field
  • Advanced degree in a relevant field is preferred
Experience
  • 5+ years of experience in machine learning projects
Technical Skills
  • Deep Learning Frameworks (e.g., Keras)
  • Natural Language Processing (NLP)
  • Big Data Technologies (e.g., Hadoop, Spark)
Soft Skills
  • Adaptability
  • Leadership
Certifications
  • Certified Machine Learning Specialist
  • Data Science Professional Certificate
Languages
  • English: Fluent

Advantageous

  • Familiarity with Reinforcement Learning techniques: Knowledge of RL algorithms and their applications.
  • Experience with version control systems (e.g., Git): Proficiency in using Git for code collaboration.

Benefits

  • Comprehensive health coverage including dental and vision
  • Generous paid time off and leave policies
  • Professional development budget for courses and certifications
  • Innovative and collaborative work culture

Company Culture

  • Diversity and Inclusion: We prioritize diversity in our hiring and aim to create an inclusive environment for all employees.
  • Work-Life Balance: We promote a healthy work-life balance, ensuring team members have the support they need.
Status: Closed