Data & AI

ALOIS UK; Perth; On-site; AUD 165,000 - 248,000; Full time

Job summary

ALOIS Australia is seeking a Data & AI specialist for a contract assignment in Melbourne. You will lead end-to-end document intelligence initiatives, building ingestion, NLP, and vector-based retrieval pipelines. You will work with Iceberg-backed storage, vector search, and semantic models, designing knowledge graphs and graph queries.

Strong Python and NetworkX skills are required. The role focuses on hybrid retrieval, RAG solutions, and enterprise-scale data analytics to empower AI-driven

Qualifications

• Hands-on experience building document ingestion, OCR, metadata extraction pipelines.
• Experience with Iceberg-backed vector search and retrieval.
• Experience with vector embeddings, indexing, and similarity search.
• Experience with semantic models and knowledge graphs.
• Proficient in Python and graph analytics using NetworkX.
• Hybrid retrieval/RAG for enterprise AI solutions.

Responsibilities

• Build document ingestion, OCR, chunking, and extraction pipelines.
• Implement Iceberg vector store for metadata and embeddings.
• Develop vector indexing and similarity search for retrieval.
• Work with Apache Ossie semantic layer for data context.
• Design knowledge graphs and queries with GQL/Cypher.
• Apply Python and NetworkX for graph analytics.
• Create hybrid retrieval solutions for RAG/AI agents.

Skills

Document Intelligence

Vector Retrieval

Knowledge Graph

Graph Analytics

Hybrid Retrieval

NLP/Pipeline Development

Python

Tools

Apache Iceberg

Apache Ossie

GQL/Cypher

NetworkX

Job description

About Us

ALOIS Australia is a leading Talent and Technology Solutions company, focused on helping businesses across the country build stronger teams, smarter processes, and sustainable growth.

About Us

ALOIS Australia is a leading Talent and Technology Solutions company, focused on helping businesses across the country build stronger teams, smarter processes, and sustainable growth.

We work with organisations in diverse industries to deliver integrated workforce and technology solutions, from innovative hiring strategies to end-to-end digital transformation. Our approach combines data, insight, and human expertise to help clients solve complex workforce challenges with clarity and confidence.

Through our deep industry experience and commitment to excellence, we provide scalable, high-performance solutions that deliver measurable impact. Whether it is onshore project delivery, workforce optimisation, or specialised technology services, ALOIS Australia ensures results that truly make a difference.

From Sydney to Perth and everywhere in between, we are driven by one purpose: to empower Australian businesses and professionals to thrive in a rapidly changing world of work. At ALOIS Australia, every challenge is an opportunity to innovate, and every partnership is built on trust, transparency, and long-term success.

From Sydney to Perth and everywhere in between, we are driven by one purpose: to empower Australian businesses and professionals to thrive in a rapidly changing world of work. At ALOIS Australia, every challenge is an opportunity to innovate, and every partnership is built on trust, transparency, and long-term success.

Job Title – Data & AI

Job Location – Melbourne

Employment Type – Contract/FTC

What Role You Will Play In Team

• Document Intelligence & NLP Hands-on experience building document ingestion, parsing, OCR, chunking, metadata extraction, classification, entity extraction and semantic enrichment pipelines.
• Apache Iceberg Vector Store & Search Strong experience using Apache Iceberg as the governed storage layer for document chunks, metadata and vector embeddings, with vector similarity search, indexing, filtering and retrieval over Iceberg-backed data. Current implementations can store embeddings in Iceberg tables and perform similarity search through vector-capable query engines, with indexes used to accelerate retrieval.
• Vector & Retrieval Engineering Experience with embedding generation, vector indexing, similarity search, ANN concepts, metadata filtering, hybrid search, reranking and retrieval-quality evaluation for enterprise-scale RAG.
• Apache Ossie Semantic Layer Experience with Apache Ossie for vendor-neutral semantic models covering datasets, fields, relationships, metrics and AI context, providing consistent business meaning to analytics and AI applications.
• Knowledge Graph & Graph Querying Experience designing knowledge graphs and modelling relationships between documents, entities and business concepts, including GQL/Cypher or equivalent graph-query approaches.
• NetworkX & Graph Analytics Strong Python and NetworkX experience for graph construction, traversal, relationship analysis, centrality, community detection and other graph algorithms.
• Hybrid Knowledge Retrieval / RAG Experience combining Iceberg vector search + semantic models + graph retrieval + structured metadata to create context-rich retrieval for RAG and agentic AI solutions.

Stay Connected With Us

Learn more about ALOIS in Australia, visit our webpage ALOIS Australia

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EEO Statement

ALOIS Australia is committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all qualified applicants and do not discriminate on the basis of race, colour, religion, sex, age, national origin, disability, or any other characteristic protected under applicable laws. We value diversity and believe it strengthens our people, our culture, and the outcomes we deliver.