Senior AI/ML Leader — Generative AI & LLMs

Adactin Group

Melbourne

Sur place

AUD 140 000 - 190 000

Plein temps

Il y a 2 jours
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Résumé du poste

Adactin Group, a 100% Australian-owned IT consulting firm, invites a Lead Data Scientist in Melbourne to spearhead advanced AI/ML initiatives. You will drive end-to-end solutions from data ingestion to deployment, leveraging LLMs, RAG, and responsible AI practices to deliver measurable business value.

The role emphasizes leadership, stakeholder collaboration and delivering innovative data-driven outcomes across complex datasets and operational domains.

Qualifications

  • Strong data science and AI/ML expertise required.
  • Hands-on experience designing and deploying AI/ML solutions.
  • Experience with generative AI, LLMs, and RAG pipelines.
  • Proficient data preparation, cleaning and feature engineering.
  • Knowledge of model evaluation, governance and safety.

Responsabilités

  • Lead AI/ML solution design aligned with business goals.
  • Manage data acquisition, integration and feature engineering.
  • Design and run proof-of-concept projects and evaluations.
  • Develop generative AI solutions including LLMs and RAG pipelines.
  • Establish evaluation frameworks for accuracy and outcomes.
  • Oversee model deployment, monitoring and lifecycle improvements.
  • Apply statistical methods to derive actionable insights.
  • Uphold Responsible AI with bias checks and governance.
  • Translate analytics to actionable business recommendations.
  • Lead reviews, documentation and quality assurance.
  • Provide technical leadership and resource planning.

Connaissances

Data science
AI/ML
Generative AI
LLMs
RAG
Prompt engineering
Agentic AI
Data modelling
Feature engineering
Model deployment

Description du poste

Adactin Group, a 100% Australian-owned IT consulting firm, invites a Lead Data Scientist in Melbourne to spearhead advanced AI/ML initiatives. You will drive end-to-end solutions from data ingestion to deployment, leveraging LLMs, RAG, and responsible AI practices to deliver measurable business value.

The role emphasizes leadership, stakeholder collaboration and delivering innovative data-driven outcomes across complex datasets and operational domains.

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