Machine Learning Engineer

Johannesburg FULL TIME R41,667 - R58,333 / Month
(R500,000 - R700,000 / Year)

Job Description

Join us as a Machine Learning Engineer where you will contribute to exciting projects that leverage the power of AI. Your responsibilities will include building predictive models, analyzing data, and collaborating with cross-functional teams to deploy machine learning solutions. The right candidate will have a keen interest in AI advancements and a solid understanding of algorithms.

Responsibilities

  • Build, train, and deploy machine learning models.
  • Work closely with cross-functional teams to integrate machine learning solutions into existing products.
  • Conduct research to identify state-of-the-art machine learning techniques.
  • Document processes and share knowledge across the team.
  • Troubleshoot and resolve issues related to data quality and model accuracy.
  • Mentor junior team members and help them develop their skills.

Requirements

Education
  • Bachelor's degree in Computer Science, Data Science, or related field
  • Master's degree is a plus
Experience
  • 3+ years of experience in machine learning and statistical modeling
Technical Skills
  • Python
  • TensorFlow
  • SQL
  • Machine Learning Algorithms
  • Data Visualization
Soft Skills
  • Analytical thinking
  • Team collaboration
  • Communication
Certifications
  • Certified Machine Learning Professional
Languages
  • English: Fluent

Advantageous

  • Experience with Big Data technologies: Familiarity with Hadoop, Spark, and other big data frameworks.
  • Familiarity with cloud platforms: Experience working with cloud services like AWS or Azure for ML deployments.

Benefits

  • Competitive salary package
  • Health and wellness benefits
  • Professional development opportunities
  • Flexible working hours

Company Culture

  • Innovation: We encourage creativity and innovation in our projects.
  • Teamwork: Our culture emphasizes teamwork and collaboration.
  • Diversity and Inclusion: We are committed to creating a diverse and inclusive workplace.
Status: Open