Junior AI & Backend Developer

AI & Data Science student building ML, backend, and automation projects for startups and real-world use.
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Work expectations

Status
Actively looking
Not looking
Not looking
Open to new opportunities
Location
Melbourne
-
Open to relocating
Commitment
Casual / Contract / Part-time, Internship
Availability from time of offer
Immediately
Development experience
Less than one year
Top 3 languages or frameworks
Python, SQL, JavaScript
Also knows
Preferred work environment
Hybrid, Fully remote, In the office
Strengths

My key strengths are adaptability, fast learning, and curiosity around new technologies. I enjoy solving technical problems, learning modern tools quickly, and working on practical systems involving AI, backend development, and automation.

I work best in collaborative startup-style environments where I can contribute technically, learn from experienced people, and continuously improve through real-world projects.

Interested in working involving
I’m currently studying Data Science and am particularly interested in AI, Machine Learning, backend systems, and startup technology. I’m looking for opportunities where I can learn quickly, work on real-world products, and contribute to meaningful projects alongside ambitious teams. I’m especially interested in AI startups, developer tools, SaaS products, cloud/backend infrastructure, automation, and data-driven products. I enjoy building practical systems and exploring areas like AI agents, scalable backend architecture, and intelligent applications.
Not interested in work involving

I’m generally open to exploring different opportunities, especially in tech and startups. Prefer roles that involve learning, problem-solving, collaboration, and opportunities to grow technically rather than highly repetitive non-technical work.

Other information
I’m highly motivated to gain hands-on industry experience while studying and am especially interested in working with startups and ambitious teams building meaningful products. I enjoy learning quickly, taking initiative, and exploring emerging areas like AI agents, scalable systems, and intelligent applications.
Able to work in Australia without visa sponsorship
Requires visa sponsorship to work in Australia

Pay expectations

Full-time
$
50000
per year
Casual / Contract
$
35
per hour
Pay is negotiable in exchange for equity
Pay is negotiable in exchange for equity
Pay is not negotiable in exchange for equity
Open to volunteering or working for equity only
Not interested in volunteering or working for equity only if joining as a co-founder

Referred by

  •  

Work experience

Proudest professional achievement
One achievement I’m proud of is getting involved in an AI Judge experimentation project connected to hackathon evaluation systems and startup workflows. It gave me hands-on exposure to designing structured AI evaluation pipelines, backend architecture, and real-world problem solving beyond university coursework. I’m also proud of actively putting myself into startup and tech communities in Melbourne, attending networking events, meeting founders, and continuously building practical technical skills alongside my studies.

I'm a Data Science and AI student with hands-on experience building backend systems, automation workflows, and AI-related projects. I recently worked on an AI Judge experimentation project focused on structured evaluation pipelines, agent workflows, and scalable backend architecture for hackathon-style judging systems.

My interests span AI agents, machine learning applications, backend development, cloud infrastructure, and startup technology. I'm comfortable working with Python, FastAPI, PostgreSQL, JavaScript, and modern web technologies while continuously learning and building practical projects.

Education

Currently studying Data Science at Deakin University in Melbourne, Australia, with a strong focus on Artificial Intelligence, Machine Learning, data systems, and software development.

Actively involved in startup and tech communities, including networking through events at Stone & Chalk and exploring early-stage AI and software projects.
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