Machine Learning Engineer

Johannesburg FULL TIME R50,000 - R75,000 / Month
(R600,000 - R900,000 / Year)

Job Description

We are seeking a talented Machine Learning Engineer to bring innovative AI solutions to life. The ideal candidate will have a strong background in developing algorithms, data processing, and building scalable models. You will work with cross-functional teams to integrate machine learning into our products, enhancing customer experiences.

Responsibilities

  • Design and implement machine learning models and algorithms for data analysis.
  • Conduct pre-processing of structured and unstructured data.
  • Integrate machine learning models into existing systems.
  • Collaborate with data scientists to optimize and enhance model performance.
  • Perform model evaluations and fine-tuning.
  • Stay up-to-date with latest AI advancements and technologies.
  • Document processes and models for team use and future improvements.

Requirements

Education
  • Bachelor's degree in Computer Science or a closely related field
  • Master's degree is a plus
Experience
  • 4+ years of experience in AI and machine learning processes
Technical Skills
  • Data Analysis
  • Deep Learning
Soft Skills
  • Problem-solving
  • Communication
Certifications
  • Data Science and Machine Learning Certification
  • Google Cloud Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Experience with Cloud Platforms (AWS, GCP): Familiarity with cloud-based solutions for operations and model deployment.
  • Knowledge of Statistics: Understanding of statistical analysis and its application in model evaluation.

Benefits

  • Health insurance with dental and vision coverage
  • Retirement savings plan with company match
  • Flexible work hours and remote options
  • Professional development opportunities

Company Culture

  • Innovation: We thrive on innovation and encourage our team members to bring new ideas to the table.
  • Diversity and Inclusion: We believe in a diverse workforce and are committed to creating an inclusive environment.
  • Continuous Learning: We're dedicated to fostering a culture of continuous improvement and learning.
Status: Open