ABOUT US
STUDY AND WORK helps companies hire emerging talent with the ambition to prove themselves in the workplace. Currently, we have several companies looking to hire AI Engineer Interns so as to “Try Before You Hire” under our Professional Internship Program.

ABOUT OUR CLIENTS
As an AI Engineer Intern, you will be working with technology and innovation teams in medium to large companies or AI-focused startups. You will gain hands-on experience under the mentorship of senior AI engineers and data scientists, supporting projects that use AI to solve real-world business problems.

WHY JOIN US AT STUDY AND WORK?
In addition to working in some of the best organisations, you will also have access to the following benefits:

• Practice your AI engineering and machine learning skills during 12 weeks of unpaid internship at 3 days per week.
• Prove your worth to secure permanent employment with our clients.
• Get paid $30 to $40 per hour once you become productive and secure a job offer.

ABOUT POSITION
You may gain work experience in the following areas:

• Designing, building, and deploying machine learning models.
• Working with large datasets for training and testing AI systems.
• Implementing AI algorithms for computer vision, NLP, or predictive analytics.
• Using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Building data pipelines and automating model workflows.
• Experimenting with prompt engineering and fine-tuning large language models (LLMs).
• Integrating AI solutions into applications or business processes.
• Documenting models, results, and presenting insights to stakeholders.

ABOUT YOU
To be successful in securing a job offer during or after the internship, you must have the following skills and attributes:

• Proficiency in Python (and libraries such as NumPy, Pandas, Scikit-learn).
• Experience with machine learning and deep learning frameworks (TensorFlow, PyTorch).
• Tertiary qualifications in Computer Science, AI, Data Science, or a related field.
• Solid understanding of statistics, algorithms, and model evaluation techniques.
• Strong problem-solving and research skills.
• Ability to work with both structured and unstructured data.
• Knowledge of cloud platforms (AWS, Azure, GCP) will put you at the front of the line.
• Familiarity with generative AI and LLMs is highly regarded.

HOW MUCH DOES IT COST?
We charge a success-based internship facilitation fee of $2,200, payable only when you accept the internship offer by the host company after a successful interview.
The fee covers:

• Guaranteed internship placement for 12 weeks
• Internship agreement with training plan
• Insurance
• Performance appraisals
• Certificate of work experience