Básico

Data Scientist: Predictive Models, LLMs & MLOps

bolzano, trentino alto adige, Italy Empresa: JR Italy Cliente / Empregador: Sellagestioni
Publicado: 18.05.2026
Data de encerramento: 02.07.2026
Referência de emprego: 2e3e2385fff0c9adfbd169b66c5a575e

Informação do emprego

Localização
bolzano, trentino alto adige, Italy
Empresa
JR Italy
Cliente / Empregador
Sellagestioni
Referência de emprego
2e3e2385fff0c9adfbd169b66c5a575e
Tipo de listagem
Básico
É necessária autorização de trabalho da UE
Não
Publicado
18.05.2026
Data de encerramento
02.07.2026

Descrição do cargo

* Preferibile esperienza su attività di sviluppo di modelli predittivi e/o utilizzo di LLM* Conoscenza dei moduli Python standard in ambito analytics (scikit-learn, pandas, numpy, ecc)* Conoscenza Reti Neurali e framework per loro implementazione* Conoscenza di altri linguaggi di programmazione (R, Scala, ecc)* Conoscenza di framework BigData (Hadoop / Kafka / Spark / ecc)* Esperienza con tools di MLOps* Esperienza con strumenti di Business Intelligence (PowerBI, Board, ecc)* Conoscenza di unix, networking, docker, cloudIf you’re interested in joining our group but haven’t found the perfect position for you yet, please to share your details with us anyway — this will allow us to get in touch with you in the future.Take your time to carefully fill in all the fields, especially the section dedicated to your skills: the more accurately you describe your abilities and expertise, the greater your chances of a successful match when new opportunities arise.Let’s stay in touch, and best of luck! #J-18808-Ljbffr

Competências

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

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