Machine Learning Engineer

Durban FULL TIME R41,667 - R58,333 / Month
(R500,000 - R700,000 / Year)

Job Description

Join our team as a Machine Learning Engineer and contribute to exciting projects that shape the future of AI. Your deep understanding of machine learning frameworks will be critical in designing and improving algorithms that provide actionable insights from complex datasets.

Responsibilities

  • Lead the development of scalable machine learning systems and solutions.
  • Engage in code reviews and provide mentorship to junior engineers in the team.
  • Collaborate with stakeholders to identify the data sources necessary for effective model training.
  • Utilize cloud platforms for deploying machine learning applications and managing data workflows.
  • Stay current with advancements in machine learning and recommend implementations to improve existing practices.

Requirements

Education
  • Bachelor's degree in Data Science, Computer Science, or a related field
  • Master's degree in Machine Learning or Data Science preferred
Experience
  • 3+ years of hands-on experience with machine learning frameworks
Technical Skills
  • Deep Learning
  • Natural Language Processing (NLP)
Soft Skills
  • Teamwork
  • Adaptability
Certifications
  • AWS Certified Machine Learning
  • Data Science Certification
Languages
  • English: Fluent

Advantageous

  • Knowledge of cloud platforms: Experience deploying machine learning models in cloud environments such as AWS or GCP.
  • Experience with Agile methodologies: Familiarity with Agile practices for iterative development and collaboration.

Benefits

  • Attractive remuneration package
  • Health and wellness programs
  • Work-life balance initiatives
  • Employee training and mentorship programs
  • Opportunities to attend industry conferences

Company Culture

  • Collaborative Environment: We believe in teamwork and create an environment where everyone supports each other to achieve common goals.
  • Employee Empowerment: We encourage employees to take ownership of their work and contribute to decision-making processes.
  • Social Responsibility: We are dedicated to making a positive impact in our community through various outreach programs.
Status: Closed