1 week ago

Data Scientist - Technical AI Solutions

Quantium

Melbourne

1 week ago

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Quantium, a global leader in data science and AI, is seeking a Data Scientist for its AI Technical Solutions team in Melbourne. This hands-on role involves designing and delivering production-grade GenAI solutions for major Australian organizations, requiring 2-4 years of experience, strong Python skills, and familiarity with LLM frameworks and cloud platforms.

Core AIRemoteFull-timeMid LevelPythonLangChain

Data Scientist - Technical AI Solutions

Apply

Core AIRemoteFull-timeMid LevelPython

Salary

Not specified

Work Location

Melbourne, Victoria, Australia, AU

Work Model

Remote

Experience Required

4 years

Employment Type

Full-time

Experience Level

Mid-Senior level

Core Qualifications

Technical (Must-have)

PythonLangChainLangGraphAWSAzureGCPDockerSQLDBTMachine LearningLarge Language ModelsAPIsData PipelinesVersion ControlSoftware Engineering

Soft Skills

CommunicationCollaborationProblem SolvingConsultative MindsetProactive

Preferred Qualifications

Technical (Nice-to-have)

Apache AirflowVertex AI PipelinesGBMGLMA/B Testing

Key Responsibilities

•Contribute to building production-grade GenAI and LLM applications using Python and modern AI frameworks (e.g. LangChain, LangGraph)
•Work with cloud platforms (AWS, Azure, or GCP) and containerisation tools to support the delivery of AI solutions
•Apply a range of AI approaches under guidance — from classical ML through to LLM prompts, workflows, and agents
•Support the design of evaluation frameworks and observability metrics to ensure solution quality and performance
•Develop APIs 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 clearly
•Participate in code reviews and contribute to team technical standards
•Identify and communicate technical risks and trade-offs clearly and proactively

Data ScienceAIGenAILLMPythonCloudRemoteFull-timeConsultingAustralia

Key Responsibilities

•Contribute to building production-grade GenAI and LLM applications using Python and modern AI frameworks (e.g. LangChain, LangGraph)

•Work with cloud platforms (AWS, Azure, or GCP) and containerisation tools to support the delivery of AI solutions

•Apply a range of AI approaches under guidance — from classical ML through to LLM prompts, workflows, and agents

•Support the design of evaluation frameworks and observability metrics to ensure solution quality and performance

•Develop APIs 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 clearly

•Participate in code reviews and contribute to team technical standards

•Identify and communicate technical risks and trade-offs clearly and proactively