AI Research Engineer

1 week ago

Sydney, New South Wales, Australia KPMGau Full time

Job Opportunity

KPMG Futures is a specialist team focused on future sectors, technologies, services, business models, and more. We pursue opportunities in areas such as quantum computing, Web development, and next-gen AI.

Your Role

This role plays a key part in bringing to life next-generation AI through the development of prototypes and proof of concepts (POCs) to identify potential new business opportunities for the firm and our clients. You will also provide input into AI-related strategy at a firmwide level and support research into responsible AI as appropriate.

Responsibilities

  • Build prototypes & POCs in next-gen AIAssist in driving the execution of a plan to explore, identify, and test hypotheses using next-gen AI to create new businesses. Develop on a cloud platform like Microsoft Azure or work with tech startups to support the execution of these hypotheses through development of prototypes and POCs. You will work across the entire AI lifecycle from data modelling, data set and database creation to model deployment.
  • Develop a roadmap for the application of next-gen AI Familiarise yourself with future tech, new tech tools, and domain expertise to understand emerging AI capability. Be curious about how the tech works algorithmically and what would be required for implementation. Assist in identifying where and how future tech and new tech tools can create new opportunities for the firm and our clients.
  • Work with stakeholders within the firm and client(s) Keep stakeholders up to date with progress and challenges, ensuring they understand the risks as well as the opportunities. Work with stakeholders to understand the business context around the prototype and POC you develop and clearly articulate their required support for successful completion.
  • Build credibility in Future Tech Assist engagement with tech and research industry to build knowledge, relationships, and establish the firm as a Future Tech leader.

Requirements

  • Prior experience working within next-gen AI as a Machine Learning Engineer, Data Engineer, or Software Developer.
  • Experience designing, creating, and orchestrating end-to-end data pipelines on a cloud platform, preferably Microsoft Azure, including ingestion of structured & unstructured data sources, feature engineering for ML development, machine learning model training, and model deployment.
  • Demonstrated proficiency in Python, Java, and C++, coupled with the ability to leverage SDKs and APIs to bring the best of tech all together.
  • Comfortable working with various development environments such as cloud platforms (Microsoft Azure) or third parties (tech start-ups) to choose and use the appropriate services to create end-to-end data pipelines.
  • You are a collaborative developer who leverages code base (DevOps) to use version control (git) and document your work (wiki, confluence) on the go to enable the rest of your team.

About KPMG

KPMG is a professional services firm with global outreach and deep sector experience. We work with clients across an array of industries to solve complex challenges, steer change, and enable growth.

How to Apply

We're embracing a new way of working in many ways, from offering flexible hours and locations to generous paid parental leave and career breaks. Our people enjoy a variety of exciting perks, including retail discounts, health and wellbeing initiatives, learning and growth opportunities, salary packaging options, and more.

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