EY GDS

Data Scientist with French

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MidHybryda·KatowiceFull-time

#466437·Dodano 9 dni temu·1

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Data scienceMachine Learning Python R PySpark Machine learning Computer vision Natural language processing LLMsAICommunication skillsSQLData modellingData visualizationScrum AgileRAGOpenAIMistralCloud platformMicrosoft AzureMLOpsKanban

Podsumowanie oferty

You will customize and implement AI solutions focused on natural language processing and information extraction. You will also support AI solution development and provide feedback to AI lab researchers.

Wymagania

2+ years of professional experience in Data Science, Machine Learning or Artificial Intelligence.
Programming experience in one or more of Python, R or PySpark.
Knowledge of machine learning in one or more of these areas: classification, regression, clustering, time series, Bayesian methods, computer vision, natural language processing, large language models (LLMs) or Generative AI.
Experience with AI / ML model evaluation and validation.
Exposure to Generative AI technologies, Large Language Models (LLMs) or Natural Language Processing solutions.
Understanding of modern AI solution architectures and deployment considerations.
Excellent communication skills.
Good command of English.
French at B2 level or higher.

Nice to have:

Basic SQL knowledge, data modelling or data visualization skills.
Experience with MLOps, APIs or software engineering best practices.
Experience with a cloud platform, preferably Microsoft Azure.
Experience working with Large Language Models (LLMs), Generative AI applications or agentic AI solutions.
Familiarity with Mistral AI, Azure AI Foundry, Azure OpenAI or similar AI platforms.
Experience with document intelligence, information extraction or Retrieval-Augmented Generation (RAG).
Exposure to open-weight models, Sovereign AI concepts or enterprise AI deployment patterns.
Experience working with multilingual solutions, European clients or regulated industry environments.
Experience using Agile methodologies (Scrum, Kanban, etc.).

Obowiązki

Understand business needs and fulfil them with the right solution.
Participate in cross-functional initiatives and collaborate across various domains.
Interact with data engineers and product/project managers from around the world.
Customize and implement solutions centred on AI technologies, specifically natural language processing and information extraction.
Support AI solution development tasks and provide feedback to AI lab researchers.

EY GDS

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