As an AI Data Scientist you design and operationalize machine learning and Generative AI solutions supporting engineering product development and decision-making.

I Suoi compiti

Design, develop and validate machine learning, GenAI and analytics solutions across the development lifecycle
Support AI-assisted and agentic capabilities across requirements, coding, testing and vulnerability management
Build prototypes and evaluation pipelines for LLM-based applications, RAG solutions and prediction models
Acquire, clean and structure data from engineering toolchains, repositories and documentation
Define evaluation approaches, performance metrics and validation methods for AI models
Create reusable datasets, embeddings, feature stores, notebooks and pipelines
Explore emerging AI and data science techniques and assess applicability for engineering use cases

Che cosa porta con sé

Bachelor's or Master's degree in Data Science, Computer Science, AI, Statistics, Mathematics or related field
Minimum 5 years hands-on experience in data science, machine learning or AI engineering
Good understanding of data engineering foundations including pipelines, APIs, databases and versioning
Strong practical experience with programming languages and data science/ML ecosystems
Understanding of software/firmware development lifecycles, DevSecOps and cybersecurity considerations
Hands-on exposure to Generative AI, LLM applications, prompt engineering and retrieval-augmented generation
Fluent in English

Condizioni quadro

Grado di occupazione: 80–100 %
Modello di lavoro: Ibrido
Opzione di assunzione a tempo indeterminato dopo l'incarico, se entrambe le parti lo desiderano

Che cosa La aspetta

Hybrid work model with 2-3 days per week of mobile working
Mobility allowance
Further training opportunities
3–6 months interim, then a permanent position

Tecnologie

LLM
RAG
GenAI
Machine Learning

Come candidarsi

Si candida con il Suo profilo Try&Hire: carichi il CV, verifichi i dati, inserisca i dati principali e la disponibilità. Un breve video di presentazione è facoltativo, ma aiuta. Il nostro team La contatterà se il Suo profilo è adatto all'incarico.