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- Aufgaben: Help enhance multi-language support for an AI tool focused on regulatory summaries.
- Arbeitgeber: Join a forward-thinking client dedicated to improving language processing in AI.
- Mitarbeitervorteile: Work remotely and gain hands-on experience with cutting-edge technology.
- Warum dieser Job: Be part of a crucial project impacting key EU jurisdictions and deadlines.
- Gewünschte Qualifikationen: Strong knowledge of Large Language Models and Machine Learning is essential.
- Andere Informationen: Familiarity with German, French, or Italian is a plus but not required.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
Task Description:
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The client is seeking help to solve the language support challenges and ensure multi-language support for their LLM based regulation summary and action tool in time for the key deadlines: April investors presentation, and July product launch. The desired outcome is that the AI powered features of horizon scanning, triage, and impact assessment are operational in key EU jurisdictions for April demo and the July Go-Live.
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The client has built a POC. The model works well to summarize and action English regulatory documents. However, the model is struggling with German, French, and Italian regulatory documents (beta testing customers are in DE, CH). They want our help to solve this part for the other languages through this model. This is why we need someone with decent knowledge of LLMs and testing.
Technology / Must have skills:
- Strong understanding of Large Language Models
- Machine Learning, Model Building
- Utilizing Amazon Web Services (AWS) as a platform for performing data science tasks
- German/French/Italian languages would be desirable, but they are not mandatory
#J-18808-Ljbffr
Data Scientist Arbeitgeber: Coopers Group GmbH
Kontaktperson:
Coopers Group GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Scientist
✨Tip Number 1
Familiarize yourself with the specific challenges of multi-language support in LLMs. Understanding how these models handle different languages, especially German, French, and Italian, will give you an edge during discussions.
✨Tip Number 2
Showcase any relevant experience you have with AWS and machine learning projects. Being able to discuss your hands-on experience with these technologies can set you apart from other candidates.
✨Tip Number 3
If you have any knowledge of regulatory documents in the EU, make sure to highlight that. Understanding the context of the documents you'll be working with can demonstrate your readiness for the role.
✨Tip Number 4
Engage with the community around LLMs and data science. Participating in forums or attending meetups can help you stay updated on trends and challenges, which you can reference in your conversations with us.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Scientist
Tipps für deine Bewerbung 🫡
Understand the Task Description: Make sure to thoroughly read and understand the task description provided by the client. Highlight your experience with language support challenges and how you can contribute to solving them.
Showcase Your Skills: Emphasize your strong understanding of Large Language Models and Machine Learning in your application. Provide specific examples of projects where you've utilized these skills, especially in relation to multi-language support.
Highlight Relevant Experience: If you have experience working with AWS for data science tasks, make sure to mention it. Include any relevant projects or roles that demonstrate your ability to build models and perform testing.
Language Proficiency: While German, French, or Italian language skills are not mandatory, if you possess any knowledge in these languages, be sure to include it in your application. This could set you apart from other candidates.
Wie du dich auf ein Vorstellungsgespräch bei Coopers Group GmbH vorbereitest
✨Showcase Your LLM Knowledge
Make sure to highlight your understanding of Large Language Models during the interview. Be prepared to discuss specific projects or experiences where you've successfully implemented or tested LLMs, especially in multi-language contexts.
✨Demonstrate Problem-Solving Skills
The client is facing challenges with German, French, and Italian regulatory documents. Prepare examples of how you've tackled similar issues in the past, focusing on your analytical and problem-solving skills.
✨Familiarize Yourself with AWS
Since the role requires utilizing Amazon Web Services for data science tasks, brush up on your AWS knowledge. Be ready to discuss how you've used AWS in previous projects, particularly in relation to machine learning and data processing.
✨Language Skills Matter
While German, French, and Italian language skills are not mandatory, they are desirable. If you have any proficiency in these languages, be sure to mention it. Even basic knowledge can set you apart from other candidates.
