Generative AI Engineer

Bring your talent and passion to Accenture – sharpen your skills, build an extraordinary career and play a key role in creating solutions that transform organizations and communities around the world.

If you are a software engineer with experience dealing with data and putting AI&ML applications in production, we invite you to join the fast-growing Accenture Data Science & Machine Learning Engineering practice in Europe and work as part of a worldwide team of experts. In this position you should be able to build and deliver end-to-end solutions with focus on data science and machine learning components .

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

What will help you succeed:

• 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

Reasons for being our colleague:

• Flexible working arrangements (Flex-work, Home Office)

• Option to participate on projects abroad

• Continuous growth in a positive and multicultural work environment

• Wide range of leading-edge trainings (including language course) 

• Access to trainings, materials and bootcamps to build/enhance your skills

• Family oriented benefits

• Share purchase plan

• Transparent bonus structure

• Refer-a-Friend – get a bonus in the employee referral program

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

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