Sasol invites young suitable candidates who meet all the necessary criteria to apply for the AI youth development Internships programme
Sasol Youth Development Internships programme
Join our dynamic team as an Intern: Al Engineer, where you’ll be immersed in the exciting world of machine learning, deep learning, and data-driven insights.
We’re looking for candidates with a passion for Al technologies who are keen to learn and grow in a fast-paced environment.
As an intern, you’ll play a key role in developing Al models, experimenting with various Al techniques, and supporting the deployment of Al solutions. You will receive training that will develop your Al engineering skills, along with exposure to the latest Al tools and frameworks.
Accountabilities for the Youth Development Programme:
- Collaborate with data scientists and software engineers to design, build, and fine-tune Al models.
- Explore machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
- Collect, clean, and pre-process data to ensure it’s ready for use in Al models.
- Conduct exploratory data analysis to derive insights and inform model development.
- Implement Al algorithms using Python libraries such as PyTorch, TensorFlow, scikit-learn, and others.
- Optimize Al models for accuracy, performance, and scalability.
- Work with the engineering team to integrate Al models into production systems.
- Learn how to deploy Al models in cloud environments (e.g., AWS, Azure, Google Cloud).
- Stay up-to-date with the latest advancements in Al research and technologies.
- Experiment with new Al techniques and contribute to ongoing Al projects.
- Use data visualization tools to present Al model outcomes and insights to stakeholders.
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The Sasol Youth Development Program’s requirements:
Honours/MSc/MEng in:
- Computer Science
- Data Science
- Mathematics
- Statistics
- Engineering
- Artificial Intelligence
- Operations Research
Skills and Competencies:
- Programming: Proficiency in Python and familiarity with Al 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
- Experience with cloud platforms (AWS, Azure, or Google Cloud) for Al model deployment.
- Familiarity with big data tools (e.g., Hadoop, Spark).
- Experience with MLOps tools for automating the Al lifecycle.
How to Apply
Click here to apply online for the Sasol AI youth development Internships programme