Machine Learning Engineer

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

Job Description

As a Machine Learning Engineer at Tech Innovations Inc., you will play a key role in developing and deploying machine learning models that enable our clients to harness the power of data. You will collaborate with data scientists, software engineers, and product teams to create cutting-edge AI solutions that improve decision-making and operational efficiency.

Responsibilities

  • Engineer and deploy machine learning models to production environments.
  • Analyze large datasets to extract actionable insights.
  • Work closely with stakeholders to refine project goals and timelines.
  • Maintain version control and documentation for models developed.
  • Experiment with new machine learning techniques to improve accuracy.
  • Contribute to the development of AI strategies and best practices.
  • Assist in the monitoring and maintenance of system performance.

Requirements

Education
  • Bachelor's degree in a quantitative field such as Mathematics or Statistics
  • Master's degree is preferred
Experience
  • 4+ years of experience in machine learning or data analysis
Technical Skills
  • R Programming
  • Deep Learning
Soft Skills
  • Team Collaboration
  • Creativity
Certifications
  • Google Cloud Professional Machine Learning Engineer
  • Certified Data Scientist
Languages
  • English: Fluent

Advantageous

  • Experience with Apache Spark: Hands-on experience with Spark for big data processing and machine learning tasks.
  • Knowledge of Natural Language Processing (NLP): Experience with NLP techniques and libraries for text analysis.

Benefits

  • Comprehensive health benefits
  • Retirement plan with company contributions
  • Work-life balance initiatives
  • Annual training budget for skill enhancement

Company Culture

  • Diversity and Inclusion: We celebrate diversity and are committed to creating an inclusive workplace.
  • Flexibility: We offer flexible working arrangements to support work-life balance.
  • Employee Well-being: Our culture prioritizes employee well-being with mental health support and wellness programs.
Status: Closed