Machine Learning Engineer

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

Job Description

We are looking for a talented Machine Learning Engineer to join our team in Johannesburg. In this role, you will be responsible for developing, testing, and deploying machine learning models that contribute to our AI initiatives. Your role will be instrumental in transforming data into actionable insights.

Responsibilities

  • Implement machine learning algorithms in production environments.
  • Analyze datasets for trends and patterns that inform model development.
  • Collaborate with software engineers for seamless integration.
  • Contribute to a culture of innovation and continuous improvement.
  • Participate in research and development to create next-generation AI solutions.
  • Document findings and share knowledge with team members.

Requirements

Education
  • Bachelor's degree in Computer Science, Data Science, or related field
  • Master's degree is preferred
Experience
  • 3+ years of experience in machine learning or data science roles
Technical Skills
  • Python
  • TensorFlow
  • SQL
  • Scikit-learn
Soft Skills
  • Analytical skills
  • Communication skills
Certifications
  • Certified Machine Learning Specialist
  • AWS Certified Machine Learning - Specialty
Languages
  • English: Fluent

Advantageous

  • Experience with cloud platforms like AWS or Azure: Hands-on experience deploying machine learning models in cloud environments.
  • Knowledge of big data technologies: Experience with Hadoop or Spark for handling large datasets.

Benefits

  • Competitive salary with performance bonuses
  • Comprehensive medical aid and wellness programs
  • Professional development and training opportunities
  • Flexible working hours and remote work options

Company Culture

  • Innovation: We believe in fostering an innovative work environment where creativity and new ideas are encouraged.
  • Collaboration: Our team thrives on collaboration, working together to solve complex challenges.
  • Diversity and Inclusion: We celebrate diversity and strive to create an inclusive workplace for everyone.
Status: Closed