ML Engineer

Cape Town Full-time R40,000 - R60,000 / Month
(R480,000 - R720,000 / Year)

Job Description

We're on the lookout for an experienced ML Engineer to join our vibrant team in Cape Town. The successful candidate will work on cutting-edge AI projects, applying machine learning techniques to drive impactful solutions. This role demands a strong understanding of machine learning algorithms, coupled with hands-on experience in deploying machine learning models in production environments.

Responsibilities

  • Research and deploy novel machine learning techniques to improve overall functionality.
  • Integrate AI solutions into an existing software framework.
  • Participate in cross-functional teams to deliver AI-driven projects effectively.
  • Ensure compliance with data governance and privacy regulations while handling sensitive data.
  • Assist with the preparation of technical and non-technical documentation.

Requirements

Education
  • Bachelor's degree in Data Science, Statistics, or a related discipline
  • Master's degree preferred
Experience
  • 5+ years of practical experience in machine learning projects
Technical Skills
  • Deep Learning
  • Natural Language Processing
Soft Skills
  • Teamwork
  • Adaptability
Certifications
  • Certified Data Scientist
  • Google Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Familiarity with Agile methodologies: Experience working in Agile environments like Scrum or Kanban.
  • Contributions to open-source projects: Active participation in open-source ML projects is highly regarded.

Benefits

  • Comprehensive health and wellness programs
  • Generous leave policies and paid time off
  • Work-life balance initiatives
  • Team-building activities and outings

Company Culture

  • Continuous Feedback: Regular feedback sessions to facilitate personal and career growth.
  • Collaboration and Teamwork: Fostering a collaborative culture where teamwork is at the heart of our mission.
  • Adaptability to Change: Encouraging adaptability among team members to stay ahead in the evolving tech landscape.
Status: Closed