Data Scientist, GenAI & AI Solutions (Remote)

Quantium; Melbourne; Hybrid; AUD 120.000 - 170.000; Vollzeit

Benefits dieser Stelle

Flexible work arrangements

Remote working

Global mobility

Zusammenfassung

Quantium in Australia is seeking a Data Scientist for the AI Technical Solutions team to design and deliver GenAI solutions for large organisations. This hands-on role works on production-grade AI applications from design to client handover.

You will collaborate with data scientists, engineers and client teams to solve complex business problems using LLMs, ML and cloud tech, building APIs and data pipelines with SQL and orchestration tools.

Qualifikationen

• A degree in a quantitative field such as computer science, mathematics, statistics, or engineering.
• 2–4 years of experience in data science or AI/ML development.
• Strong Python programming skills and software engineering practices.
• Experience with GenAI/LLM applications and frameworks.
• Familiarity with cloud platforms and containers such as Docker.

Aufgaben

• Contribute to design and delivery of GenAI solutions for large organisations.
• Develop production-grade AI applications from design to client handover.
• Work with data scientists, engineers and client teams to solve business problems.
• Design evaluation frameworks and observability metrics.
• Develop APIs and data pipelines using SQL and orchestration tools.
• Participate in code reviews and maintain technical standards.

Kenntnisse

Python

GenAI

LLMs

Cloud platforms

SQL

Communication

Ausbildung

Bachelor's degree in a quantitative field

Tools

LangChain

LangGraph

Docker

DBT

Jobbeschreibung

Quantium in Australia is seeking a Data Scientist for the AI Technical Solutions team to design and deliver GenAI solutions for large organisations. This hands-on role works on production-grade AI applications from design to client handover.

You will collaborate with data scientists, engineers and client teams to solve complex business problems using LLMs, ML and cloud tech, building APIs and data pipelines with SQL and orchestration tools.