CLOSING DATE: Not Specified
LOCATION: Sandton, Sasolburg, Secunda
DURATION: 12 Months
JOB DESCRIPTION:
Join our dynamic team as an Intern: AI 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 AI technologies who are keen to learn and grow in a fast-paced environment.
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.
KEY RESPONSIBIBLITIES
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.
SKILSS
- 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.
WISH LIST
- Experience with cloud platforms (AWS, Azure, or Google Cloud) for AI model deployment.
- Familiarity with big data tools (e.g., Hadoop, Spark).
- Experience with MLOps tools for automating the AI lifecycle.
Sasol is an equal opportunity and affirmative action employer. Inspired by our Purpose of “Innovating for a better world”, Sasol acknowledges that diversity is intrinsic to the fabric of our organisation and is the key to our 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.
Our automated process is designed to efficiently assess a large volume of applications. Should you not hear from us within 60 days of the advert closing then kindly consider your application unsuccessful. Thank you once-more for your interest in Sasol as your employer of choice, and we wish you all the best with your career aspirations and future applications with us.