Machine Learning Engineer

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

Job Description

We are seeking a talented Machine Learning Engineer to join our dynamic team in Durban. The ideal candidate will be proficient in developing and implementing machine learning models and algorithms using Python and related technologies. In this role, you will contribute to innovative projects that leverage AI to solve real-world problems, working closely with cross-functional teams to deliver impactful solutions.

Responsibilities

  • Develop and optimize algorithms for data-driven decision making.
  • Collaborate with multidisciplinary teams to integrate AI capabilities into existing systems.
  • Participate in code reviews and contribute to team best practices.
  • Explore and evaluate new technologies to enhance product offerings.
  • Contribute to user experience improvements through advanced AI solutions.

Requirements

Education
  • Bachelor's degree in Data Science or a related field
  • Master's degree preferred
Experience
  • 5+ years of relevant experience in AI and machine learning
Technical Skills
  • Deep Learning
  • Natural Language Processing (NLP)
Soft Skills
  • Creative problem solving
  • Effective communication
Certifications
  • Machine Learning by Stanford University (Coursera)
  • Google Cloud Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Experience with big data technologies: Familiarity with tools like Apache Spark and Hadoop for processing large datasets.
  • Familiarity with MLOps practices: Understanding of MLOps for model lifecycle management and deployment.

Benefits

  • Health coverage including dental and vision
  • Generous paid time off and holiday schedule
  • Flexible working environment
  • Continuous learning and growth opportunities

Company Culture

  • Empowerment: We empower our employees to take initiative and own their projects.
  • Continuous Learning: Investing in our people's growth is a priority; we provide ongoing training opportunities.
  • Diversity and Inclusion: We strive to create an inclusive workplace that values each individual's contributions.
Status: Closed