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XS

AI Consultant

XPT Software Australia Pty LtdSydney, New South Wales🇦🇺AustraliaPosted 10 Aug 2026

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
On Site
Location
Sydney, New South Wales, Australia
GCPAWSMLOpsNLPAgileAzureGenerative AIPyTorchPythonTensorFlow

Job Description

XPT Software Australia Pty Ltd Contract

AI Consultant

Sydney, Australia Posted on 08/04/2026

  • XPT SoftwareAustralia PTY Ltd, incorporated in 2016, is a Software Services company
  • XPT works with topclients across Australia in Banking, Insurance, Telecom,Retail, Energy, Mining and Manufacturingdomains.
  • We have 120+technocrats in Australia working at our clientlocations.
  • XPT SoftwareAustralia is part of group companies which has globalpresence across India & Europe.
  • We have served100+ clients globally, fulfilling their onsite-offshoreneeds.
Job Description Must Have Skills:
  • 5-12 years of experience in AI/ML/NLP/LLMengineering or AI consulting.
  • Strong hands- on experience with Generative AI,LLMs, prompt engineering, embeddings, RAG pipelines.
  • Proficiency with Python, ML frameworks(PyTorch/TensorFlow), and AI cloud platforms (Azure, AWS, GCP).
  • Experience with Azure OpenAI / OpenAI API, vectordatabases (Pinecone, FAISS, Chroma), LangChain, LlamaIndex.
  • Understanding of MLOps/AIOps, CI/CD pipelines, andmodel lifecycle management.
  • Familiarity with data engineering,structured/unstructured data processing, and analytics tooling.
  • Consulting & Business Skills
  • Ability to translate complex AI concepts intobusiness-friendly language.
Nice to Have Skills: Detailed Job Description
  • 5-12 years of experience in AI/ML/NLP/LLMengineering or AI consulting.
  • Strong hands on experience withGenerative AI, LLMs, prompt engineering, embeddings, RAG pipelines.
  • Proficiency with Python, MLframeworks (PyTorch/TensorFlow), and AI cloud platforms (Azure, AWS,GCP).
  • Experience with Azure OpenAI /OpenAI API, vector databases (Pinecone, FAISS, Chroma), LangChain,LlamaIndex.
  • Understanding of MLOps/AIOps, CI/CDpipelines, and model lifecycle management.
  • Familiarity with data engineering,structured/unstructured data processing, and analytics tooling.
  • Consulting & Business Skills
  • Ability to translate complex AIconcepts into business-friendly language.
  • Proven track record deliveringmeasurable business outcomes using AI.
Soft Skills
  • Strong analytical and troubleshooting skills.
  • Excellent communication and documentationabilities.
  • Ability to work in an agile, collaborativeenvironment.
  • Experience interacting with senior stakeholders andarchitecture groups.

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