AI/Machine Learning Engineer

Johannesburg FULL TIME R66,667 - R83,333 / Month
(R800,000 - R1,000,000 / Year)

Job Description

As an AI/Machine Learning Engineer, you will lead efforts to integrate machine learning solutions into our product line. This role demands significant expertise in various programming languages and a deep understanding of natural language processing as well as data analytics. Collaborating with cross-disciplinary teams, you will ensure our projects fulfill their potential in delivering high-quality results.

Responsibilities

  • Architect, build, and maintain scalable end-to-end machine learning pipelines.
  • Assess and validate models for accuracy and performance.
  • Leverage cloud platforms for model deployment and management.
  • Collaborate with business teams to define ML use cases.
  • Present findings and solutions to stakeholders and executives.
  • Contribute to the open-source community to promote ML best practices.

Requirements

Education
  • Bachelor's degree in Computer Science, Data Science, or a related field
  • Master's degree preferred
Experience
  • 3+ years of experience in AI/machine learning development
Technical Skills
  • Python
  • TensorFlow
  • Natural Language Processing (NLP)
Soft Skills
  • Analytical Thinking
  • Team Collaboration
Certifications
  • Certified TensorFlow Developer
  • AWS Certified Machine Learning Specialist
Languages
  • English: Fluent

Advantageous

  • Experience with big data technologies such as Hadoop or Spark: Knowledge in handling large-scale data processing frameworks.
  • Background in software engineering: Solid grounding in software development principles and practices.

Benefits

  • Competitive salary with performance bonuses
  • Health and wellness benefits
  • Flexible working arrangements
  • Learning and development opportunities

Company Culture

  • Innovation: We foster an innovative atmosphere that encourages new ideas and creative thinking.
  • Trial and Error: We believe in testing theories and solutions, learning from both successes and failures.
  • Supportive Environment: We offer a collaborative workspace where every team member's input is valued.
Status: Closing Soon