Python AI Software Engineering Internship
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Job Location:
Monthly Salary:
Posted on:
21 hours ago
Vacancies:
1 Vacancy
Job Summary
Position: AI/ML Software Engineering Intern (Primary title)
About the Opportunity
Join a hands-on engineering internship designed for Python-savvy students and early-career developers who want production experience delivering AI-enabled software. You will work with cross-functional teams to prototype models build data pipelines and integrate ML into servicesgaining mentorship and real product-facing engineering exposure.
Role & Responsibilities
- Prototype and iterate on Python-based ML models for NLP CV or tabular tasks and validate performance with experiments and metrics.
- Build and maintain data ingestion and preprocessing pipelines using NumPy and Pandas; ensure data quality and reproducibility.
- Wrap models as lightweight services or APIs (Flask/FastAPI) and collaborate on integration with backend systems.
- Use version control (Git) and follow CI practices to produce clean testable code; write unit tests and reproducible notebooks.
- Containerize experiments using Docker and assist with basic deployments to cloud instances or VM-based environments.
- Document experiments present results to engineering stakeholders and incorporate feedback into successive iterations.
Skills & Qualifications
Must-Have
- Proficiency in Python for scripting and model development
- Experience with one or more ML frameworks: PyTorch or TensorFlow
- Hands-on use of data libraries: NumPy and Pandas
- Familiarity with scikit-learn for baseline modeling and evaluation
- Practical Git experience and basic unit testing practices
- Ability to work on-site in Australia for the internship duration
Preferred
- Experience containerizing apps with Docker
- Exposure to building APIs with Flask or FastAPI
- Familiarity with cloud compute environments (AWS / GCP / Azure)
Qualifications
- Currently pursuing or recently completed a degree in Computer Science Engineering Data Science or related discipline
- Portfolio of projects or GitHub demonstrating Python and ML work (notebooks model code small deployed demos)
- Strong problem-solving mindset and eagerness to learn production engineering practices
Benefits & Culture Highlights
- Mentorship from senior engineers and exposure to full ML product lifecycle
- On-site collaborative environment with structured learning goals and evaluation
- Opportunity to convert to full-time roles based on performance and business needs
This role is keyword-optimised for candidates searching for internships in Python AI machine learning model deployment and software engineering within Australia. Apply if you want practical production-oriented AI engineering experience and the chance to contribute to live systems.
Required Skills:
tensorflowgitpytorchpandasnumpypythondocker
Key Skills
- APIs
- Docker
- Jenkins
- REST
- Python
- AWS
- NoSQL
- MySQL
- JavaScript
- Postgresql
- Django
- GIT
