Machine Learning Engineer

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

Job Description

Become a part of our ambitious team as a Machine Learning Engineer! You will actively contribute to machine learning projects that aim to innovate and improve our existing systems. If you thrive in a tech-savvy environment, we want to hear from you!

Responsibilities

  • Develop and test scalable machine learning pipelines.
  • Work closely with cross-functional teams to integrate ML models into applications.
  • Analyze large datasets to identify trends and insights.
  • Provide technical guidance and mentorship to junior engineers.
  • Prepare and present findings to stakeholders.
  • Implement best practices in coding and testing procedures.
  • Participate in peer code reviews and contribute to a culture of collaboration.

Requirements

Education
  • Bachelor's degree in Computer Science, Data Science, or related field
  • Master’s degree is advantageous
Experience
  • 3+ years of experience in machine learning or related fields
Technical Skills
  • Python
  • TensorFlow
  • Scikit-Learn
  • Data Analysis
Soft Skills
  • Analytical thinking
  • Team collaboration
  • Communication
Certifications
  • Machine Learning Certification
  • Deep Learning Specialization
Languages
  • English: Fluent

Advantageous

  • Experience with cloud services (AWS, Azure): Knowledge of deploying machine learning models in cloud environments.
  • Experience with Big Data technologies (Hadoop, Spark): Familiarity with processing and analyzing big datasets for machine learning.

Benefits

  • Competitive salary package
  • Health insurance and wellness benefits
  • Flexible working hours
  • Opportunities for professional development

Company Culture

  • Innovation: We encourage creativity and innovation at every level of the organization.
  • Team Spirit: A collaborative environment where teamwork and support are paramount.
  • Growth Mindset: We believe in continuous learning and provide resources for personal and professional growth.
Status: Closed