Machine Learning Engineer

Durban Full-time R50,000 - R70,000 / Month
(R600,000 - R840,000 / Year)

Job Description

Join a vibrant team in Durban as a Machine Learning Engineer where your expertise in AI will help transform innovative concepts into reality. The role requires a strong understanding of machine learning algorithms and hands-on experience with AI technologies. You will work on various projects that focus on improving business intelligence and enhancing customer experiences.

Responsibilities

  • Create predictive models to optimize the performance of various applications.
  • Research and implement new machine learning techniques.
  • Assist in developing AI strategies aligned with business goals.
  • Support data-driven decision making within the organization.
  • Conduct workshops and training sessions on AI technology.
  • Contribute to the continuous improvement of data practices.

Requirements

Education
  • Bachelor's degree in Computer Science or related field
  • Master's degree preferred
Experience
  • 4+ years of experience in machine learning projects
Technical Skills
  • JavaScript
  • PyTorch
  • Apache Spark
Soft Skills
  • Analytical Skills
  • Self-motivation
Certifications
  • AWS Certified Machine Learning
  • Microsoft Certified: Azure AI Engineer Associate
Languages
  • English: Fluent

Advantageous

  • Experience with Reinforcement Learning: Knowledge of reinforcement learning techniques and their applications.
  • Familiarity with NLP Techniques: Understanding of natural language processing methods and tools.

Benefits

  • Comprehensive health coverage with dental and vision benefits
  • Generous leave policy including wellness days
  • Access to exclusive industry events and networking opportunities
  • Employee assistance programs for mental health support

Company Culture

  • Continuous Learning: We support ongoing education and provide resources for personal development.
  • Work-Life Balance: Our policies reflect our commitment to maintaining a healthy work-life balance for all employees.
  • Charity and Community Involvement: We encourage our employees to participate in community service and charitable initiatives.
Status: Closed