Gen Ai Engineer

OverviewJoin to apply for the Gen AI Engineer role at Accenture New Zealand.Accenture is a leading global professional services company.

We believe in inclusion and diversity and supporting the whole person.

Our core values are Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity.

Accenture is recognised worldwide for business performance and inclusion and diversity.

"Across the globe, one thing is universally true of the people of Accenture : We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEOThe Data and AI revolution is changing everything.

It's everywhere - transforming how we work and play.

Join Accenture and help transform leading organisations and communities around the world.

Accenture's Data and AI practice covers the range of Data and AI skills across all domains of data governance & quality, cloud & traditional data engineering and visual insights & next generation user interfaces.

When combined with Accenture's broader Strategy and Consulting and Technology businesses, we bring together the end-to-end business changes through the application of Data and AI.You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways.

We have access to world leading assets, training and experts to help your career thrive and grow.ResponsibilitiesAt the forefront of the industry, you'll create, own and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises.Become an integral part of our DAI team with the credibility, expertise and insight clients depend on.You will be working with famous brands and household names – tackling some of the most challenging industry, community and national problems.Technologies you will work withPython, RPyTorch, Keras, Tensorflow, SciKit, MLlibAzure ML, AWS SageMaker, GCPHadoop, Beam, DatabricksDocker, KubernetesStatistics, ProbabilitiesLLMs, Diffusion ModelsGenerative AIWhat you will doConvert data science experiments into deployable web services, ensuring high availability and scalability.Ship in-house and off-the-shelf machine learning models, including LLMs and Diffusion models.Design and implement appropriate data models and flows to meet project requirements (ETL, Embedding Models, Vector Databases, etc.).

Orchestrate the deployment of on-premise or cloud-based solutions.Create and manage RESTful APIs to manage inference, monitoring and retraining of models.Be involved in various stages of analytics / DS / ML projects, from data gathering to MLOps.Job Qualifications3+ Software engineering1+ Data Science and Machine Learning experienceExperience using one or more scripting or programming languages like Python, C#, or similar.Proficient with Linux, Docker, distributed computing and similarity search techniquesFamiliar with data visualization tools like PowerBI, Plotly or similarFamiliar with machine learning and deep learning models.Familiar with Large Language Models (LLM) and Diffusion Models (e.g., Stable Diffusion)Experience with processing / modeling big dataExperience on cloud technologies like Azure ML / AWS SageMaker or similar.Familiar with MLOps approach and methodologySeniority levelMid-Senior levelEmployment typeFull-timeJob functionEngineering and Information TechnologyAuckland, New Zealand

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