Sasol is looking for unemployed graduates to apply for their Youth Development Internships, for the year 2025.
Location : Sandton, South Africa
Closing date: 25 October 2024
Sasol Youth Development Internships 2025
Sasol is an equal opportunity and affirmative action employer. Inspired by their Purpose of “Innovating for a better world”, Sasol acknowledges that diversity is intrinsic to the fabric of their organization and is the key to their growth and success. Sasol is committed to the full inclusion of all suitably qualified individuals. Preference will be given to applicants from designated groups and people with disabilities according to Sasol’s Employment Equity Plan. This includes reasonable accommodation to enable individuals with disabilities to perform essential job functions.
Key Accountabilities
As an Intern: AI Engineer, you’ll be involved in:
- 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.
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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
Formal Education
A degree in the following:
- Computer Science
- Data Science
- Mathematics
- Statistics
- Engineering
- Artificial Intelligence
- Operations Research
- An Honours/MSc/MEng will be an advantage
Application
Application can only be done online, Click here to submit your application
