Informacje o stanowisku
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Client:
EY
Location:
Job Category:
Other
EU work permit required:
Yes
Job Reference:
5a656235424a
Job Views:
18
Posted:
23.01.2025
Expiry Date:
09.03.2025
Job Description:
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.
To qualify for the role, you must have:
- 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.
- Bachelors or Masters degree in Computer Science, Engineering, or a related field.
Ideally, you’ll also have:
- 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.
What we offer:
- 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.
About EY
EY | Building a better working world
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