Generative AI Engineer

In Accenture Technology, we investigate and explore new technologies to determine how our clients can use them – helping their business innovate, grow and improve.

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;

JOb Requirements: What will help you succeed:

• 3+ years of experience in Software engineering
• 3+ years of experience in Data Science and Machine Learning
• 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!