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Full timeEngineering

Artificial Intelligence (AI) Engineer III (2316)

MorsonMelbourne, Victoria🇦🇺Australia

Why this role stands out

This hybrid AI Engineer role offers a fantastic opportunity to leverage your expertise in Large Language Models and MLOps, contributing to cutting-edge projects within a reputable technology division. You'll thrive here if you possess strong Python skills and a passion for developing scalable AI solutions, with a competitive hourly rate and benefits package included. Apply today to advance your career in artificial intelligence!

Quick overview

SalaryA$61/hr
SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationMelbourne, Victoria, Australia
Prompt Engineering

Job description

Job Description Title: Artificial Intelligence (AI) Engineer III (2316)
Location: Melbourne, Florida
Openings: 1
Work Model: Hybrid, 2 - 3 days in office
Job Type: Contract
Duration: 1 Year
Rate: $61/hour (W2) + Benefits
Hours: 40 hours/week, 8 - 5
Project: Technology Division
Position Summary:
An AI (Artificial Intelligence) Engineer develops and trains AI models to automate processes and solve complex problems. They design and implement AI systems, ensuring they function effectively and align with business objectives.
Responsibilities:
  • Evaluate machine learning processes and select appropriate models.
  • Collect and analyze large datasets to train AI models. Develop and deploy AI algorithms and systems.
  • Collaborate with cross functional teams to establish goals for AI processes.
  • Test and validate AI models to ensure accuracy and effectiveness. Manage data and project infrastructure.
  • Stay updated on the latest AI developments and technologies.
Strong Large Language Model (LLM) Expertise
  • Hands on experience fine tuning, adapting, and deploying LLMs, including prompt engineering, embeddings, and context management.

LLM Application & System Architecture
  • Proven ability to design and implement production grade LLM solutions such as RAG pipelines, agents, and tool/function calling systems.

Production MLOps & Model Lifecycle Management
  • Experience owning the end to end ML lifecycle, including CI/CD, deployment, monitoring, versioning, and performance/cost optimization.
Advanced Python & Software Engineering
  • Strong Python skills with experience building scalable, testable APIs and services that integrate ML/LLM models into enterprise systems.

Cloud Based Scalable ML Infrastructure
  • Hands on experience with AWS, Azure, or GCP, including containerization (Docker), orchestration (Kubernetes), and GPU based ML workloads.

Qualifications:
  • Masters degree in Computer Science, Engineering, or a related field.
  • Proven experience as an AI Engineer or in a similar role.
  • Strong programming skills in languages such as Python, R, or Java.
  • Experience with machine learning frameworks and libraries. Excellent analytical and problem-solving abilities.
  • Effective communication and collaboration skills.

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