Sasol Youth Development Programme Candidate (Learnership) for 12 months

Sasol Youth Development Programme Candidate (Learnership) for 12 months

DEADLINE: 10 October 2024

Sasol Youth Development Programme Candidate (Learnership) for 12 months

• Location: Sandton, Sasolburg, Secunda
• Duration: Fixed Term Contract (Learnership) for 12 months

You will join the Sasol dynamic team as an Intern with a passion for AI technologies: AI Engineer, where you’ll be immersed in the exciting world of machine learning, deep learning, and data-driven insights.

As an intern, you’ll play a key role in developing AI models, experimenting with various AI techniques, and supporting the deployment of AI solutions. You will receive training that will develop your AI engineering skills, along with exposure to the latest AI tools and frameworks.

As an Intern: AI Engineer, this is what you will be involved in the following:

• AI Model Development:
  • Collaborate with data scientists and software engineers to design, build, and fine-tune AI models.
  • Explore machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
• Data Preparation and Analysis:
  • Collect, clean, and pre-process data to ensure it’s ready for use in AI models.
  • Conduct exploratory data analysis to derive insights and inform model development.
• Algorithm Implementation:
  • Implement AI algorithms using Python libraries such as PyTorch, TensorFlow, scikit-learn, and others.
  • Optimize AI models for accuracy, performance, and scalability.
• Automation and Deployment:
  • Work with the engineering team to integrate AI models into production systems.
  • Learn how to deploy AI models in cloud environments (e.g., AWS, Azure, Google Cloud).
• AI Research and Experimentation:
  • Stay up-to-date with the latest advancements in AI research and technologies.
  • Experiment with new AI techniques and contribute to ongoing AI projects.
• Visualization and Reporting:
  • Use data visualization tools to present AI model outcomes and insights to stakeholders.
  • Assist in creating reports that demonstrate the impact of AI on business objectives.

Education and Skills

Skills

• Programming: Proficiency in Python and familiarity with AI libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Machine Learning: Knowledge of key machine learning algorithms and techniques.
• Data Processing: Experience with data cleaning, preparation, and feature engineering.
• Problem Solving: Ability to approach problems creatively and analytically.
• Communication: Strong written and verbal communication skills for explaining technical concepts

Education

Honours/MSc/MEng in:

• Computer Science
• Data Science
• Mathematics
• Statistics
• Engineering
• Artificial Intelligence
• Operations Research