AI Engineer

Mane; Canberra; On-site; AUD 120,000 - 180,000; Full time

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

Unlock your potential with a prestigious opportunity alongside an award-winning, data-driven industry leader! A highly motivated AI Engineer is required to transform data into actionable insights. Our team is passionate about harnessing the power of artificial intelligence to drive business growth and create meaningful impact across various sectors.

Rocking the latest tools you will be responsible for designing, developing, and deploying AI-driven solutions to enhance our data analytics capabilities, optimize business processes, and support decision-making. This role offers an opportunity to work on challenging AI projects, collaborate with top industry experts, and shape the future of AI within our organization.

What you’ll be doing;

• 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. You will design and develop practical AI applications using LLMs. You will create feedback loops and human oversight processes that ensure our solutions stay accurate and valuable over time.
• Optimize and fine-tune algorithms for performance, scalability, and accuracy.
• Collaborate with data scientists, software engineers, and business stakeholders to integrate AI solutions into existing systems.
• Stay up to date with the latest advancements in AI, deep learning, and machine learning technologies.
• Develop and maintain robust data pipelines and infrastructure to support AI applications.
• Ensure model explainability, interpretability, and compliance with ethical AI practices.
• Conduct research and experiment with new methodologies to drive innovation.

To Succeed in the role you will have:

• 3+ years of experience in AI engineering, machine learning, or a similar role.
• Proficiency in programming languages such as Python, R, or Java.
• A genuine enthusiasm for LLM technology with proven experience working across multiple models.
• Strong experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
• Hands‑on experience with cloud platforms (AWS, Azure, or Google Cloud) for deploying AI solutions.
• Deep understanding of machine learning algorithms, deep learning architectures, and natural language processing (NLP).
• Experience working with big data technologies such as Spark, Hadoop, or distributed computing frameworks.
• Solid knowledge of data structures, algorithms, and software development best practices.
• Strong problem-solving skills and the ability to work in a fast-paced environment.