Data Engineer Intern
17 hours ago
Company Description
AI CYBER, based in Melbourne, is an innovative startup specialising in cutting-edge artificial intelligence technologies. Our mission is to develop intelligent solutions that empower industries and create a smarter future. With expertise in AI content generation, intelligent media, and smart healthcare, our dedicated and diverse team brings international perspectives and vast industry knowledge. We focus on delivering AI software platforms and large industry models, and AI-assisted healthcare solutions. Partnering with leading academic institutions and global companies, we strive to advance AI technology and its practical applications.
Role Description
Focus: Assisting in establishing and maintaining our robust data infrastructure and supporting future language model fine-tuning.
This is a full-time on-site role based in the Greater Melbourne Area for a Data Engineer Intern. In this role, you will assist in designing, building, and maintaining data pipelines, ensuring seamless Extract, Transform, and Load (ETL) processes. You will collaborate with data scientists and engineers to support data modelling, analytics, and warehousing needs. Additional tasks include identifying and resolving data discrepancies, optimising data workflows, and contributing to the development of innovative AI-driven solutions.
Key Skills
Strong Python programming ability for building data pipelines and automation workflows. Ability to manage different data domains and schemas. Experience or coursework in Data ETL (Extract, Transform, Load) processes is required. Preferably familiar with LLM fine-tuning workflows (SFT).
Requirements
Proficiency in SQL querying and familiarity with S3-compatible object storage. Experience with Pandas, n8n and crawlers is preferred. Basic understanding of Linux and Docker is beneficial.
Qualifications
- Expertise in Data Engineering and Data Modelling
- Knowledge of Extract, Transform, and Load (ETL) processes
- Understanding of Data Warehousing/Lake concepts
- Experience in Data Analytics to provide insights and drive decisions
- Strong problem-solving and critical-thinking skills
- Proficiency in programming languages such as Python
- Ability to work effectively in a collaborative, team-oriented environment
- Currently pursuing or recently completed a degree in Computer Science, Data Science, or a related field
What We Offer
- Growth: Clear path for a full-time transfer upon successful performance.
- Compensation: Salary is included during the probationary internship period.
- Opportunity: Work with cutting-edge technologies and gain valuable, hands-on industry experience.
Ready to launch your tech career? Apply today
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