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XPT Software Australia Pty Ltd

AI Consultant

Posted 5 Hours Ago
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In-Office
Sydney, New South Wales, AUS
Senior level
In-Office
Sydney, New South Wales, AUS
Senior level
Provide AI consulting and engineering expertise focused on generative AI, LLMs, prompt engineering, embeddings, and RAG pipelines. Build solutions using Python, ML frameworks, cloud AI platforms, vector databases, and orchestration tools. Apply MLOps, data engineering, and model lifecycle practices while translating complex AI concepts into business outcomes. Collaborate with senior stakeholders and architecture teams in agile environments.
The summary above was generated by AI

Job Details:

Must Have Skills:

·         5–12 years of experience in AI/ML/NLP/LLM engineering 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, vector databases (Pinecone, FAISS, Chroma), LangChain, LlamaIndex.

·         Understanding of MLOps/AIOps, CI/CD pipelines, and model lifecycle management.

·         Familiarity with data engineering, structured/unstructured data processing, and analytics tooling.

·         Consulting & Business Skills

·         Ability to translate complex AI concepts into business-friendly language.

 

Nice to Have Skills:

Detailed Job Description

  • 5–12 years of experience in AI/ML/NLP/LLM engineering 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, vector databases (Pinecone, FAISS, Chroma), LangChain, LlamaIndex.
  • Understanding of MLOps/AIOps, CI/CD pipelines, and model lifecycle management.
  • Familiarity with data engineering, structured/unstructured data processing, and analytics tooling.
  • Consulting & Business Skills
  • Ability to translate complex AI concepts into business-friendly language.
  • Proven track record delivering measurable business outcomes using AI.

Soft Skills

·         Strong analytical and troubleshooting skills.

·         Excellent communication and documentation abilities.

·         Ability to work in an agile, collaborative environment.

·         Experience interacting with senior stakeholders and architecture groups.

 



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