Machine Learning Engineer | Manager | Artificial Intelligence Full-time

Line of Service
Assurance

Industry/Sector
Not Applicable

Specialism
Assurance

Management Level
Manager

Job Description & Summary

The Opportunity

At PwC, we help Australian businesses, not-for-profits create value and improve the way they work. From improving healthcare, to creating smarter cities and igniting Australia’s start up industry, you’ll build trust in society and solve important problems.

The AI team is comprised of highly experienced designers, developers, data scientists and analysts who are responsible for delivering digital products and AI solutions to PwC’s business across multiple lines of service in Australia.

We partner with subject matter experts across the business to advise on, design and develop technology-enabled solutions that help to transform the way we deliver assurance, advisory, tax and legal services to our clients.

The role

Our Data Scientists are responsible for designing and developing new digital products and AI solutions for PwC’s firmwide business and our clients.

On a day-to-day basis you will be:

• Collaborating with cross-functional teams to understand requirements and speccing up technical solutions.
• Developing algorithms and heuristics for extracting information from unstructured and semi-structured data sources, cleansing and normalising data at a large scale.
• Engaging in scaffolding new projects, testing new ideas, pairing with developers, and reviewing pull requests.
• Producing clean, maintainable and efficient code to be deployed at scale in Azure cloud.
• Contributing to team stand-ups and software development lifecycle activities.
• Participating in firmwide data science and machine learning forums and communities to share ideas and contribute to our body of knowledge.
• Coaching and mentoring to junior data scientists.

About you

Applicants must be able to demonstrate the following key capabilities and behaviours:

• Strong Python development experience with modern ML/LLM frameworks.
• Knowledge of ML models such as regression/boosting models,
• Knowledge of deep learning, including CNN or RNN, preferably the domain of CV and NLP.
• Experiences in RAG pipelines including evaluation and optimisation with industry standard packages.
• Strong experience with SQL databases such as PostgreSQL (or equivalents), preferable experiences in Vector DBs.
• Strong understanding of applying algorithms at scale, selecting statistical methods, and using the scientific method to derive robust conclusions.
• Capability to identify emerging theory and apply it to practical situations.
• Strong critical thinking skills, an analytical mindset and outstanding attention to detail.
• Ability to work efficiently with remote teams using collaboration technology.
• Ability to identify issues and solve complex problems as part of a team.
• Good written and verbal communication skills.
• A proactive approach to resolving problems.
• Knowledge of proper source code management and the use of Git repositories.

Ideally, you will also have:

• A research background in ML/LLM model development.
• Prior experience with microservices architectures and containerisation, including good knowledge of Docker.
• Strong prompt engineering skills.
• Knowledge of agile software development lifecycles (SDLC) and experience working on agile projects.
• Prior experience with any message-queueing solutions (e.g. RabbitMQ, Kafka).
• Prior experience with data pipelines at scale and building on top of them.
• Prior experience with observability standards and frameworks such as OpenTelemetry.
• Prior experience with developing on cloud environments such as Azure.
• Typescript development experience with ReactJS and NodeJS.

We’re an inclusive bunch, and we try to make life easier – for our clients, our teams and our communities. If you need reasonable adjustments when applying, just let us know.

Emily Vegas is the Recruitment Manager for the role. As the team experiences high volumes of applications, we appreciate your patience to allow for a timely and fair process for all.

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements
Not Specified

Available for Work Visa Sponsorship?
Yes

Government Clearance Required?
No

Job Posting End Date