- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Minimum 5 years of experience in Data Science and Machine Learning
- In-depth knowledge of machine learning, deep learning, and generative AI techniques
- Knowledge and experience in Generative AI
- Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch
- Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models
- Familiarity with computer vision techniques for image recognition, object detection, or image generation
- Experience with cloud platforms such as Azure or AWS
- Expertise in data engineering, including data curation, cleaning, and preprocessing
- Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems
- Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
- Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions
- Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels
- Track record of driving innovation and staying updated with the latest AI research and advancements
- Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems
- Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI
- Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines
- Implement monitoring and logging tools to ensure AI model performance and reliability
- Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
- Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
- Continuous learning: You'll develop the mindset and skills to navigate whatever comes next.
- Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way.
- Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs.
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Senior GenAI Engineer - Wrocław, Polska - EY
Opis
The opportunity
We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 5 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
Ideally, you'll also have
What working at EY offers
EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across ten locations – Argentina, China, Hungary, India, the Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We'll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.
About EY
EY | Building a better working world
