ML Engineer

Port Elizabeth FULL TIME R50,000 - R70,000 / Month
(R600,000 - R840,000 / Year)

Job Description

As an ML Engineer, you'll be responsible for developing machine learning models and algorithms that will enable our products to understand and learn from data. You'll work closely with data scientists, engineers, and product teams to ensure the integration of ML solutions into our core systems, thus driving innovation across the company. Your role will involve prototyping, testing, and deploying models while continuously improving their performance.

Responsibilities

  • Research and implement new algorithms to enhance product features.
  • A/B testing of models to assess performance and improve accuracy.
  • Ensure compliance with ethical guidelines and data privacy regulations.
  • Work closely with the DevOps team to deploy machine learning models.
  • Present findings to stakeholders and drive decisions based on data.
  • Contribute to a collaborative team culture focused on innovation.

Requirements

Education
  • Bachelor's degree in Computer Science or related field
  • Master's degree in Data Science is preferred
Experience
  • 4+ years of experience in developing machine learning models
Technical Skills
  • TensorFlow
  • Natural Language Processing
Soft Skills
  • Communication
  • Problem-solving
Certifications
  • Certified Data Scientist
  • AI and Machine Learning Certificate
Languages
  • English: Fluent

Advantageous

  • Experience with CI/CD tools: Proficient in CI/CD practices for deploying and monitoring machine learning systems.
  • Working knowledge of cloud platforms: Familiarity with AWS, Azure, or GCP for deploying ML models.

Benefits

  • Comprehensive health insurance cover
  • Opportunity for remote work
  • Access to training and development programs
  • Employee wellness initiatives

Company Culture

  • Continuous Learning: We foster an environment of growth and continuous learning, encouraging staff to develop their skills.
  • Open Communication: We encourage open communication and value the opinion of every team member.
  • Community Impact: We engage with the community and support initiatives that drive social change.
Status: Closed