Senior AI Engineer: Build Scalable AI & LLM Solutions

Mane

Canberra

On-site

AUD 120,000 - 180,000

Full time

11 days ago

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Job summary

Mane is seeking an AI Engineer to transform data into actionable insights, designing, developing, and deploying AI-driven solutions. You will work on large datasets, build predictive models, and create practical AI applications using LLMs while ensuring explainability and ethical practices.

The role offers collaboration with data scientists, software engineers, and business stakeholders on impactful AI projects.

Qualifications

  • 3+ years of experience in AI engineering, ML, or a similar role.
  • Proficiency in programming languages such as Python, R, or Java.
  • Genuine enthusiasm for LLM technology with experience across models.
  • Strong experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
  • Hands-on experience with cloud platforms for deploying AI solutions.

Responsibilities

  • Design, develop, and implement AI and machine learning models for data-driven applications.
  • Work with large-scale datasets to build and improve predictive models.
  • Build AI solutions that solve real problems using LLMs with feedback loops and oversight.
  • Optimize and fine-tune algorithms for performance, scalability, and accuracy.
  • Collaborate with data scientists, software engineers, and stakeholders to integrate AI into systems.
  • Stay up to date with the latest advancements in AI, deep learning, and ML.
  • Develop and maintain robust data pipelines and infrastructure for AI applications.
  • Ensure model explainability, interpretability, and ethical AI practices.
  • Conduct research and experiment with new methodologies to drive innovation.

Skills

AI engineering
Python
R
Java
TensorFlow
PyTorch
Scikit-learn
Keras
Cloud platforms
NLP
Big data
Spark
Hadoop
Data structures
Algorithms
Problem solving
LLMs

Tools

AWS
Azure
Google Cloud
LLMs

Job description

Mane is seeking an AI Engineer to transform data into actionable insights, designing, developing, and deploying AI-driven solutions. You will work on large datasets, build predictive models, and create practical AI applications using LLMs while ensuring explainability and ethical practices.

The role offers collaboration with data scientists, software engineers, and business stakeholders on impactful AI projects.

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