Next-Generation AI Innovation Specialist
1 month ago
KPMG Futures is a specialist team that focuses on future sectors, technologies, services, business models, and more. We pursue opportunities in areas such as quantum computing, web development, next-gen AI, and start-up venture partnering. Our main objective is to bring to life game-changing technologies and business models to accelerate a better future for our clients and KPMG.
Your OpportunityThis role will play 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. The role will also provide input into AI-related strategy at a firmwide level and support research into responsible AI as appropriate.
Key Responsibilities:- Build prototypes & POCs in next-gen AI: Assist in driving the execution of a plan to explore, identify, and test hypotheses using next gen AI to help create new businesses.
- Develop a roadmap for the application of next-gen AI: Familiarize 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.
- 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.
- 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.
We're looking for a strategic critical thinker who loves using their technical skills to solve complex problems and build prototype and POC solutions in a multi-disciplinary team. You should have a can-do attitude and be always seeking creative solutions to problems with the help of the right technical tools and a supportive team.
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 and 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 their work (wiki, confluence) on the go to enable the rest of their team.
- Familiarity with front-end development frameworks is looked upon favorably.
- Ability to develop prototypes, pilots, and proof of concepts (POC).
A tertiary qualification (bachelor's degree) in computer science, software development, or similar is required. Additional qualifications related to artificial intelligence, machine learning, and/or data engineering will be considered favorably. Relevant Microsoft Azure (or other cloud platform) certifications are considered favorably.
BenefitsWe offer a competitive salary of approximately $120,000 per year, plus benefits, including flexible hours, generous paid parental leave, career breaks, retail discounts, health and wellbeing initiatives, learning and growth opportunities, salary packaging options, and more.
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