Gen AI Engineer – Accenture

“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 CEO

 As a team:

The 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 is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities, client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance.

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 are able to bring together the unique 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.

In our team you will learn:

• At 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 D&AI 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.

Different technologies that you will be able to work with:

• Python, R
• PyTorch, Keras, Tensorflow, SciKit, MLlib,
• Azure ML, AWS SageMaker, GCP
• Hadoop, Beam, Databricks
• Docker, Kubernetes
• Statistics, Probabilities,
• LLMs, Diffusion Models
• Generative AI

Our future colleague will do:

• Convert 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 Qualifications

• 3+ Software engineering
• 1+ Data Science and Machine Learning experience
• Experience using one or more scripting or programming languages like Python, C#, or similar.
• Proficient with Linux, Docker, distributed computing and similarity search techniques
• Familiar with data visualization tools like PowerBI, Plotly or similar
• Familiar 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 data
• Experience on cloud technologies like Azure ML/AWS SageMaker or similar.
• Familiar with MLOps approach and methodology