Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 40.664 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Technologies
Your role in the team
Data Scientist with LLM and MLOps focus
- End-to-end conception and implementation of AI solutions, with a focus on the areas of NLP/Large Language Models and forecasting, at leading companies in Austria and abroad
- Statistical analysis of large amounts of data, including the definition of ETL pipelines, data visualization and technical interpretation
- Co-design and further development of our offerings in the area of artificial intelligence and advanced analytics, especially with a focus on large language models
- Collaboration as a Subject Matter Expert on strategic projects on topics such as trustworthy AI or analytics governance
- Internal and external knowledge transfer on the topic of AI through workshops and lectures
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Our expectations of you
Qualifications
- Advanced knowledge of end-to-end implementation of AI/ML projects (preferably Azure ML Studio, ML Flow or Kubeflow as well as Docker or Kubernetes)
- Passion for data science, good analytical skills and problem-solving skills
- Open-minded, curious and communicative
Experience
- At least 3 years of work experience in a data science or machine learning engineer role with experience in going live with ML models and creating AI architectures
- Project experience in machine learning/data science projects and the necessary tools and methods (Python/R, SQL, Spark, APIs, CI/CD for ML, agile development)
- Experience working with large language models such as GPT-3, Llama or similar models
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Benefits
Work-Life-Integration
Job Locations
This is your employer
EY Österreich
Wien
EY is a global leader in business consulting, with 900 employees working out of offices in Vienna, Linz, Salzburg and Klagenfurt. They are experts in auditing, taxation and management consulting.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Law, Finance, Economics