Machine Learning Developer

Port Elizabeth Full-time R50,000 - R62,500 / Month
(R600,000 - R750,000 / Year)

Job Description

We are seeking a Machine Learning Developer to join our dynamic team in Port Elizabeth. The ideal candidate will have strong expertise in developing machine learning models and be proficient in programming languages such as Python or R. You will play a key role in designing and implementing AI solutions that drive our business forward.

Responsibilities

  • Implement and test new machine learning algorithms.
  • Work closely with the data engineering team to ensure smooth data access.
  • Analyze model performance and troubleshoot issues.
  • Drive best practices in model development and deployment.
  • Contribute to technical documentation and user guides.
  • Engage in problem-solving sessions to address challenges in data science projects.
  • Assist in grant writing and project proposals for upcoming AI initiatives.
  • Contribute innovative ideas during brainstorming sessions and workshops.

Requirements

Education
  • Bachelor's degree in Computer Science or related field
  • Master's degree in Data Science preferred
Experience
  • 4+ years of experience in machine learning and algorithm development
Technical Skills
  • Python
  • Java
Soft Skills
  • Creative Problem Solving
  • Adaptability
Certifications
  • TensorFlow Developer Certificate
  • AWS Certified Machine Learning
Languages
  • English: Fluent

Advantageous

  • Familiarity with deep learning techniques: Experience with neural networks and advanced machine learning techniques.
  • Participation in Kaggle competitions: Demonstrated ability through participation in data science competitions.

Benefits

  • Comprehensive medical aid
  • Work-from-home options available
  • External training reimbursement
  • Annual team retreats and bonding activities

Company Culture

  • Continuous Learning: Our staff has access to learning resources and development programs.
  • Diversity and Inclusion: We embrace diversity and strive to create an inclusive workplace for all.
  • Work-Life Balance: We support employee well-being and promote a healthy work-life balance.
Status: Closed