- Interested in working with diverse projects, both within speech and text processing?
- Do you enjoy collaborating in a team of both NLP and speech experts with a great focus on knowledge-sharing and responsible AI?
- Keen on joining a global IT Company who is one of the few Microsoft ML Advanced Specialization certified partners worldwide?
Practical Information:
Location: Vienna, Austria | Reports to: Director Data & AI CoE Europe | Visa Requirements: Valid working visa for the Austria | Language Requirements: German and English, written and verbal | Work Arrangement: Hybrid | Learn more: www.crayon.com
As a Principal Data Scientist at Crayon's Data & AI Centre of Excellence you will work directly with customers to develop and implement transformative GenAI and NLP solutions. You’ will provide mentorship to data scientists, helping scale our impact through strong delivery frameworks and best practices.
Key responsibilities will include:
- Collaboration with account teams and solution architects to identify AI/GenAI opportunities
- Defining and guidance of AI strategies for enterprise clients, translating business objectives into actionable roadmaps for language technology and GenAI adoption, ensuring alignment with cloud capabilities, data maturity, and long-term value
- Support of proposal creation, pitching innovative GenAI/NLP solutions, and leading technical conversations with clients
- Conducting discovery workshops and designing sessions to align AI strategies with business goals
- Defining the data requirements and conducting exploratory data analysis for developing AI models
- Writing a production-grade Python code for deploying the developed AI models together with our engineering team
Your Competencies:
- 7+ years of experience in applied Data Science, specifically Language Technologies (e.g., NLP, LLMs, GenAI)
- Solid practical experience with common machine learning frameworks and libraries, including scikit-learn, PyTorch, and Hugging Face
- Proficiency in Python
- Hands-on experience with cloud platforms for Data & AI workloads, preferably Azure (e.g., Azure ML, Cognitive Services, etc.) AWS and GCP will be advantageous
About You:
- You are a strategic thinker with the ability to align AI initiatives with long-term business goals and drive innovation at scale
- You present effective interpersonal and communication skills with a proven ability to collaborate with business stakeholders and customers in a consultative and solution-oriented manner and translate complex AI concepts into business value
- You demonstrate the ability to support and guide team members through mentorship and collaborative leadership
What's on offer:
- Upskilling and cross-skilling through certifications and training
- Lunch benefit 54 €/month (Edenred)
- Annual Transportation Ticket (Wiener Linien Card)
- Social and team events
- Access to our Employee Assistance Program
At Crayon, we are deeply committed to fostering a culture of diversity, equity, inclusion, and belonging (DEIB). We believe that diversity in all its forms strengthens our team and enhances innovation and effectiveness. We welcome applications from individuals of all backgrounds, regardless of race, color, age, origin, religion, sexual orientation, gender (identity), genetic information, neurodiversity, disability, or any other basis protected by local laws and regulations.
When filling vacancies, we prioritize equally qualified candidates who bring diverse backgrounds and experiences, helping to enrich our team dynamics and foster a vibrant, inclusive work environment.
If you require any assistance or reasonable accommodation during the application process, please let us know.
Apply to join an award-winning employer!
Minimum salary for Austria, which is according to our collective bargaining agreement trade, € 2.392,00 gross salary per month. However, we will offer you a competitive compensation package aligned with your skills and experience.
Key Skills
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- Posted
- Apr 29, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Vienna
- Company
- Crayon
Industries
Categories
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