Machine Learning Engineer

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

Job Description

We are seeking a highly skilled Machine Learning Engineer to join our dynamic team in Johannesburg. The ideal candidate will have experience in developing machine learning models, optimizing algorithms, and working with big data to implement impactful solutions. Join us in driving innovation and enhancing our AI capabilities.

Responsibilities

  • Design, build, and deploy machine learning applications.
  • Work closely with stakeholders to understand project requirements and objectives.
  • Optimize existing algorithms, and improve the accuracy and efficiency of machine learning models.
  • Conduct experiments and evaluate model performance using statistical methods.
  • Mentor junior team members and provide technical leadership.

Requirements

Education
  • Bachelor's degree in Computer Science, Mathematics, or a related field
  • Master's degree in a relevant field is advantageous
Experience
  • 3+ years of experience in machine learning or data science
Technical Skills
  • Python
  • TensorFlow
  • Pandas
  • Scikit-learn
  • SQL
Soft Skills
  • Analytical thinking
  • Communication
  • Adaptability
Certifications
  • AWS Certified Machine Learning
  • Google Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Experience with big data technologies (e.g., Hadoop, Spark): Familiarity with big data frameworks for processing large datasets.
  • Knowledge of cloud platforms (e.g., AWS, GCP): Experience deploying ML models on cloud services.

Benefits

  • Competitive salary with performance bonuses
  • Health, dental, and vision insurance
  • Flexible working hours and remote work options
  • Opportunity for professional development and training

Company Culture

  • Innovation: We cultivate a culture of innovation where new approaches are encouraged and valued.
  • Collaboration: Teamwork is key, and we work together to solve problems and deliver outstanding solutions.
  • Diversity and Inclusion: We embrace diversity and strive to create an inclusive environment for everyone.
Status: Open