Machine Learning Engineer

Durban FULL TIME R41,667 - R62,500 / Month
(R500,000 - R750,000 / Year)

Job Description

We are seeking an innovative Machine Learning Engineer to join our expanding team in Durban. As a key contributor, you will design, implement, and optimize machine learning models that drive our cutting-edge AI solutions. The ideal candidate has a strong analytical mindset and a passion for data-driven decision-making, with a proven track record in deploying machine learning algorithms.

Responsibilities

  • Design and deploy scalable machine learning solutions.
  • Utilize data from various sources to enhance model precision.
  • Implement feature engineering techniques to boost model performance.
  • Collaborate with stakeholders to align machine learning strategies with business objectives.
  • Assist in the training and mentoring of junior ML engineers and interns.

Requirements

Education
  • Bachelor's degree in Computer Science, Data Science, or a related field
  • Master's degree preferred
Experience
  • 3-5 years of experience in machine learning or data science
Technical Skills
  • Python
  • TensorFlow
  • Scikit-learn
  • SQL
  • Data Visualization
Soft Skills
  • Critical Thinking
  • Team Player
Certifications
  • Certified Machine Learning Professional
  • AWS Certified Machine Learning - Specialty
Languages
  • English: Fluent

Advantageous

  • Experience with cloud platforms like AWS or Azure: Familiarity with cloud computing services and deployment for ML projects.
  • Knowledge of Natural Language Processing (NLP): Experience in building models that analyze textual data.

Benefits

  • Comprehensive health benefits including medical and dental insurance
  • Retirement savings plan with employer contributions
  • Work-life balance support with flexible hours
  • Opportunities for professional development and training

Company Culture

  • Innovation: We encourage creative thinking and innovative solutions in a dynamic environment.
  • Collaboration: Our team values open communication and teamwork to achieve common goals.
  • Diversity and Inclusion: We are committed to building a diverse workforce and fostering an inclusive culture.
Status: Closed