ML Engineer

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

Job Description

As an ML Engineer, you will play a crucial role in our projects by designing robust machine learning systems that identify patterns and insights from various data sets. Your expertise will help drive our mission of developing intelligent systems that enhance our offerings and deliver exceptional value to clients.

Responsibilities

  • Build scalable machine learning systems that can process large datasets.
  • Participate in brainstorming sessions for new ML projects and concepts.
  • Document code and processes to ensure reproducibility and maintainability.
  • Work closely with software engineers to integrate AI solutions into existing platforms.
  • Mentor junior ML engineers and interns in the team.
  • Stay up-to-date with advancements in machine learning technologies.

Requirements

Education
  • Bachelor's degree in Computer Science, Engineering, or related field
  • Master's degree in Machine Learning or Data Science is a plus
Experience
  • 3-5 years of experience in machine learning or data science roles
Technical Skills
  • Python
  • TensorFlow
  • Scikit-learn
  • SQL
Soft Skills
  • Analytical skills
  • Collaboration
  • Communication skills
Certifications
  • Certified TensorFlow Developer
  • Professional Machine Learning Engineer
Languages
  • English: Fluent

Advantageous

  • Experience with cloud platforms like AWS or Azure: Knowledge of deploying ML models on cloud infrastructure.
  • Familiarity with big data technologies such as Hadoop or Spark: Experience handling large datasets efficiently.

Benefits

  • Competitive salary and performance bonuses
  • Comprehensive health benefits including medical, dental, and vision
  • Flexible working hours and remote work options
  • Continuous learning and professional development opportunities

Company Culture

  • Innovation: We prioritize innovation and creativity, welcoming fresh ideas and approaches.
  • Teamwork: Our culture is centered around collaboration, where teamwork is encouraged and valued.
  • Inclusiveness: We are dedicated to fostering a diverse environment where everyone feels respected and valued.
Status: Closed