Senior GenAI Engineer with French
Wrocław, DS, PL, 50-086
EY
Mit unseren vier integrierten Geschäftsbereichen — Wirtschaftsprüfung und prüfungsnahe Dienstleistungen, Steuerberatung, Unternehmensberatung und Strategy and Transactions — sowie unserem Branchenwissen unterstützen wir unsere Mandanten dabei,...Senior GenAI Engineer with French
Location: Wrocław / Warsaw / Katowice
Hybrid model: 2 days office/3 days remote
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
The opportunity
We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
Skills and attributes for success
- Minimum 4 years of experience in Data Science, Machine Learning, and Generative AI techniques.
- Proficiency in programming languages (Python, R) and frameworks (TensorFlow, PyTorch), with strong NLP and computer vision knowledge.
- Experience with cloud platforms (Azure, AWS) and data engineering practices (curation, cleaning, preprocessing).
- Knowledge of trusted AI practices ensuring fairness, transparency, and accountability in AI systems.
- Strong collaboration, problem-solving, and communication skills, with a Bachelor's or Master's degree in a related field.
- French at B2 level.
Ideally, you’ll also
- Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
- Drive DevOps and MLOps practices, utilizing tools like Docker, Kubernetes, and Git for continuous integration, deployment, and monitoring of AI pipelines.
- Collaborate with software engineering and operations teams to ensure efficient integration and deployment of AI models, implementing monitoring and logging tools for performance and reliability.
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
Are you ready to shape your future with confidence? Apply today.
To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
In compliance with the requirements of the Whistleblower Protection Act, our company has established the Procedure for reporting breaches of law and undertaking appropriate follow-up actions. Any misconduct should be reported through the EY Ethics Hotline.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Computer Vision Consulting DevOps Docker Engineering Generative AI Git Kubernetes LLMs Machine Learning MLOps NLP Pipelines Python PyTorch R TensorFlow
Perks/benefits: Career development Flex hours Transparency
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