Generative AI Engineer

Generative AI Engineer – Mid-Level & Senior

Bring your talent and passion to Accenture and build a career where technology, data and AI come together to create solutions that transform businesses and communities around the world.

We are looking forMid-Level and Senior Generative AI Engineers to join our growingData Science & Machine Learning Engineering practice in Europe. In this role, you’ll work as part of a global team of experts, developing and deliveringend-to-end AI/ML solutions with a strong focus on Generative AI.

As aGenerative AI Engineer, you will:

• Turn data science and AI experiments into production-ready, scalable solutions.

• Develop and deployGenerative AI solutions, includingLLMs and Diffusion Models.

• Design and implement data models and flows, includingETL, embedding models and vector databases.

• Build and manageREST APIs for inference, monitoring and model retraining.

• Orchestrate AI/ML deployments across cloud and on-premise environments.

• Work across the full AI/ML lifecycle, from data gathering and experimentation to deployment andMLOps.

• Collaborate with international teams and experts to solve complex business challenges using cutting-edge AI technologies

Technologies you may work with

• Programming: Python, R, C# or similar

• Machine Learning: PyTorch, Keras, TensorFlow, scikit-learn, MLlib

• Generative AI: LLMs, Diffusion Models, Generative AI

• Cloud: Azure ML, AWS SageMaker, GCP

• Data & Big Data: Hadoop, Beam, Databricks

• Containers: Docker, Kubernetes

• AI/Data: Embedding Models, Vector Databases, similarity search

• Visualization: Power BI, Plotly or similar

• MLOps, statistics and probability

What will help you succeed

• 3+ years of software engineering experience

• 1+ year of experience in Data Science and Machine Learning

• Strong programming experience withPython, C# or a similar language

• Experience withLinux, Docker and distributed computing

• Knowledge of machine learning and deep learning models

• Familiarity withLLMs and Diffusion Models such as Stable Diffusion

• Experience withbig data processing and modeling

• Experience with cloud platforms such asAzure ML, AWS SageMaker or similar

• Familiarity withMLOps methodologies

• Knowledge of similarity search techniques

• Familiarity with data visualization tools such as Power BI, Plotly or similar

Why join Accenture?

• Flexible working arrangements, includingHome Office and Flex-work

• Opportunities to participate ininternational projects

• Continuous professional development in a positive, multicultural environment

• Access to extensive technical training, bootcamps and learning materials

• Language courses and development opportunities

• Family-oriented benefits

• Share Purchase Plan

• Transparent bonus structure

• Refer-a-Friend program with employee referral bonuses

About Accenture

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.