Senior Consultant - GCP AI/ML Engineer - Baseline Brisbane

Job Requisition ID:42048

Senior Consultant - GCP AI/ML Engineer

• Design, develop and deploy AI/ ML, and intelligent agent solutions on Google Cloud Platform (GCP).
• Build production-ready solutions using Google Cloud Gemini Enterprise Agent Platform (Vertex AI), Python / R and cloud-native data and application services.
• Turn complex data and emerging AI capabilities into scalable solutions that improve client outcomes.

About the GCP AI/ML Engineer role

Based in Brisbane, you will join our AI & Data practice as a Senior Consultant and work across the full AI and machine learning lifecycle, from opportunity identification and solution design through to deployment, monitoring and continuous improvement. You will use Google Cloud technologies, including Vertex AI and Gemini, to build practical, secure and scalable solutions for complex client environments.

What will your typical day look like?

You will collaborate with data scientists, data engineers, architects, product teams and business stakeholders to identify valuable AI and ML opportunities and translate them into production-ready solutions. Your work may include preparing data, developing models and algorithms, building AI model, training models, monitoring performance and communicating technical decisions to stakeholders.

You will be responsible for:

• Design, develop, train, test and deploy AI/ML solutions on GCP.
• Develop BigQuery and BigQuery ML, Auto ML, custom models, algorithms and data features using Python / R and relevant machine learning libraries.
• Use Google Cloud Gemini Enterprise Agent Platform (Vertex AI) for model development, training, evaluation, deployment and monitoring.
• Apply various modelling methods and advanced analytics to improve customer, operational and business outcomes.
• Translate business needs into clear technical designs, delivery plans and measurable outcomes.
• Apply prompt engineering, grounding, evaluation and guardrail techniques to improve solution quality and reliability.
• Experiment with emerging AI capabilities and Agentic AI exposure to convert viable prototypes into reusable, production-ready assets.
• Build/Support automated deployment, testing and monitoring practices for AI and ML solutions.
• Monitor model performance, data drift, quality, cost and operational outcomes, and implement continuous improvements.
• Communicate technical concepts, risks and recommendations clearly to technical and non-technical stakeholders.

How this role brings our table-stakes behaviours to life

Our core behaviours guide how we work: Be Curious, Reuse and Improve, Validate and Elevate, Reinvent Delivery, and Show, Don't Tell. In this role, you will explore emerging AI and ML techniques, build working solutions, validate outcomes with evidence, reuse proven patterns and help teams deliver measurable client value.

About the team

Our AI & Data team brings together specialists across Australia who combine deep technical expertise with strong business insight. We work with public and private sector clients to design and implement advanced analytics, cloud data, machine learning and Generative AI solutions. You will work alongside AI engineers, data scientists, data engineers, architects and client teams, with access to Deloitte's broader alliance ecosystem and delivery capabilities.

Enough about us, let's talk about you.

We are seeking an experienced, hands on GCP AI/ML Engineer who can take ownership of technical outcomes while working effectively with clients and multidisciplinary teams.

• Minimum 4 years' relevant experience across AI, machine learning, data science, data engineering or software engineering, including demonstrable hands on delivery.
• Hands on experience designing and delivering AI/ML solutions on Google Cloud Platform.
• Strong experience with Vertex AI (Gemini Enterprise Agent Platform) model development and deployment, including Generative AI capabilities and Gemini models.
• Strong programming capability in Python/R and experience with common machine learning and data science libraries.
• Practical knowledge of machine learning techniques, predictive modelling, deep learning, neural networks, chatbots or image processing.
• Experience building production ready cloud application and model pipelines.
• Understanding of MLOps, model evaluation, monitoring, security, privacy and responsible AI practices.
• Ability to design end to end solutions and clearly articulate architecture, delivery approach, dependencies and risks.
• Strong written and verbal communication skills, with confidence engaging both technical and non-technical stakeholders.
• Strong problem solving skills and the ability to deliver in a flexible, fast paced environment.
• A bachelor's or master's degree in computer science, engineering, data science or a related field is desirable.
• Google Cloud Professional Machine Learning Engineer certification is highly desirable.
• Australian Citizen with baseline clearance is a must.

Why Deloitte?

At Deloitte, we focus our energy on interesting and impactful work. We're always learning, innovating and setting the standard; making a positive difference to our clients and our society. We put coaching at the heart of what we do, helping our people grow their careers in any direction - whether it be up, moving into something new, or even moving across the world.

We embrace diversity, equity and inclusion. We have a diverse collection of people from different backgrounds, with different experiences, gender identities, abilities and thinking styles. What binds us together is a shared commitment to value everyone's perspective and to cultivate inclusion; so that our work environment is a safe space we can all belong.

We value in-person connection with our clients and our colleagues. We offer several ways for you to work flexibly so that you can serve your clients, stay connected with your team, and manage your personal priorities.

We help you live and work well. To support your personal and professional life, we offer a range of perks and benefits, including retail discounts, wellbeing leave, paid volunteering days, twelve flexible working options, market leading parental leave and return to work support package.