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Quantium

AI-powered analytics and GenAI solutions

Data Scientist - Technical AI Solutions

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A degree in a quantitative field such as computer science, mathematics, statistics, or engineering, or equivalent demonstrated capability in data science or artificial intelligence and machine learning.
  • Two to four years of experience in data science, artificial intelligence and machine learning development, or a related technical role.
  • Solid Python programming skills and an appreciation for software engineering practices, including testing, code quality, and version control.
  • Practical exposure to generative artificial intelligence or large language model applications, including frameworks such as LangChain, LangGraph, or equivalent.
  • Familiarity with at least one major cloud platform—AWS, Azure, or GCP—and an understanding of containerisation concepts such as Docker.
  • A foundational understanding of machine learning and artificial intelligence concepts, including how large language models work and when to apply different approaches.
  • Working knowledge of SQL and data pipeline concepts.
  • Ability to explain technical concepts to non-technical audiences.
  • Experience contributing to artificial intelligence or machine learning solutions end-to-end, ideally in a professional setting.

Responsibilities

  • Contribute to building production-grade generative artificial intelligence and large language model applications using Python and modern artificial intelligence frameworks such as LangChain and LangGraph.
  • Work with cloud platforms such as AWS, Azure, or GCP and containerisation tools to support delivery of artificial intelligence solutions.
  • Apply artificial intelligence approaches under guidance, from classical machine learning through large language model prompts, workflows, and agents.
  • Support the design of evaluation frameworks and observability metrics to ensure solution quality and performance.
  • Develop application programming interfaces and build data pipelines using SQL, DBT, and orchestration tools.
  • Collaborate with clients and domain experts to understand problems, validate approaches, and communicate technical concepts.
  • Participate in code reviews and contribute to team technical standards.
  • Identify and communicate technical risks and trade-offs proactively.

Desired Qualifications

  • Exposure to data orchestration tools such as Airflow and Vertex AI Pipelines, and transformation frameworks such as DBT.
  • Familiarity with machine learning algorithms such as gradient boosting machines and generalized linear models, and experimentation frameworks including A/B testing.
  • Some experience in consulting or client-facing delivery environments.

About the Company

Quantium

AI-powered analytics and GenAI solutions

Quantium builds AI systems that run in production, combining traditional analytics, machine learning, and GenAI to support critical operations for large organizations. Its products work by collaborating with a client’s data and existing systems, then creating custom GenAI solutions and transforming business processes so AI can be deployed at scale across the organization. Unlike many firms, Quantium emphasizes long experience (23 years) and a hands-on approach that integrates data, technology, and the client’s priorities to deliver measurable financial results, not just technology. The company aims to help clients deploy AI-enabled solutions across their operations reliably, securely, and at scale, with a track record trusted by major brands and institutions.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Sydney NSW, Australia
Founded
2002

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