Deloitte61 followers8 jobs

AI Engineer | ML, GenAI, LLM, Python, Azure | Sydney

Mid levelFull-timeHybridSydney NSW, AustraliaPosted 2 months agoVerified 1 week ago
Pending fitX of Y criteria met

About the job

Join Deloitte’s Audit & Assurance Data & Digital team as an AI Engineer, where you will work with cutting-edge AI and machine learning technologies to shape the future of AI-enabled audit. This job offers a fantastic opportunity to contribute to high-impact projects while collaborating with experienced professionals in a supportive and innovative environment. Flexible work arrangements allow you to work in a way that suits you best, fostering a culture of continuous learning and collaboration.

Meet the team

About the company

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You'll be responsible for

🛠️

Designing and developing AI solutions

Working closely with business managers, engineers, and AI specialists to design, develop, and deploy scalable AI and machine learning solutions.
📈

Building and refining AI models

Building and refining AI models, supporting the development of GenAI and LLM-based solutions, and ensuring systems are reliable and scalable.
📋

Contributing to best practices

Contributing to best practices in code quality, testing, and governance while collaborating with stakeholders.

Key criteria

💻

2–4+ years of AI and machine learning experience

Demonstrated experience designing and deploying AI solutions.

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📊

Strong Python programming skills

Proficiency with libraries like NumPy, Pandas, and TensorFlow.

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🔄

Understanding of ML and LLM lifecycle

Knowledge of end-to-end processes in machine learning.

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A meaningful career starts with a match

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5 criteria for this job
2–4+ years of AI and machine learning experience
Demonstrated experience designing and deploying AI solutions.

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Strong Python programming skills
Proficiency with libraries like NumPy, Pandas, and TensorFlow.

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Understanding of ML and LLM lifecycle
Knowledge of end-to-end processes in machine learning.

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Experience with MLOps or DevOps practices
Familiarity with deploying models on Azure, AWS, or GCP.

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Strong communication skills
Ability to explain technical concepts to diverse stakeholders.

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