Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior Data Scientist - AI Technical Solutions role.
Rezi rewrites your resume against Quantium's job description. Free.
Tailor your resume to this Senior Data Scientist - AI Technical Solutions role.
Rezi rewrites your resume against Quantium's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Data Scientist - AI Technical Solutions posting at Quantium — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Senior Data Scientist - AI Technical Solutions posting at Quantium — free, in seconds.
About the Role
Design and deliver cutting-edge GenAI solutions for major Australian organisations. This hands-on technical role involves owning production-grade AI applications from design to client handover, blending deep technical expertise with a consultative approach. You will collaborate with data scientists, engineers, and client teams to solve complex business problems using LLMs, machine learning, and cloud technologies.
Responsibilities
- Design and build production-grade GenAI and LLM applications using Python and modern AI frameworks (e.g. LangChain, LangGraph)
- Architect and implement AI solutions on major cloud platforms (AWS, Azure, or GCP) using containerisation and cloud-native practices
- Make informed technical decisions on AI approaches — knowing when to use classical ML, LLM prompts, workflows, or agents
- Design 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 translate technical concepts for non-technical stakeholders
- Conduct code reviews, mentor junior team members, and contribute to team technical standards
- Support business development through technical scoping, solution design, and proposal contributions
- Identify and communicate technical risks and trade-offs clearly and proactively
Requirements
- 5+ years of experience in data science, AI/ML development, or technical consulting
- Proven track record of delivering production-grade AI/ML solutions end-to-end
- Strong Python programming skills with solid software engineering practices — testing, code quality, and version control
- Practical experience building GenAI/LLM applications using frameworks like LangChain, LangGraph, or equivalent
- Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and containerisation (Docker)
- Solid understanding of ML/AI fundamentals including how LLMs work, transformer architectures, and when to apply different approaches
- Working knowledge of SQL and data pipeline concepts
- Strong communicator — able to explain complex technical concepts clearly to non-technical audiences
Skills
- Python
- GenAI
- LLM
- LangChain
- LangGraph
- AWS
- Azure
- GCP
- Docker
- SQL
- DBT
- MLOps
- Transformer architectures
- A/B testing
Location
- Australia
Work Type
- Hybrid
- Flexible work arrangements
- Remote working
Experience Level
- Senior
- 5+ years
Benefits
- Flexible work arrangements
- Global mobility
- Remote working (up to 30 days per year)
About the Company
- Quantium is a world leader in data science and artificial intelligence, established in Australia in 2002.
- Quantium is a global team of more than 1,200 people across 14 locations.
- Quantium offers a unique blend of capabilities across product and consulting services.
- Quantium partners with the world's largest corporations to forge a better, more intelligent world.
- Quantium is transforming into an AI-native organisation.
- Quantium has 23 years of domain expertise, proprietary data partnerships, and industry-leading AI adoption (90% weekly active usage).