Senior Data Scientist

Senior Data Scientist - EuropeSNI is serving as a trusted IT Outsourcing partner in line with the needs of World’s most prestigious firms and has carried out successful projects worldwide. srv.sniconsulting.netFor one of our clients based in Europe, we are currently looking for aSenior Data Scientist.Details:Contract Duration:6 months with extensionRemote work:With occasional on-site team sessions in PragueUS hours overlap:Min. 2-6 pm CET (ideally until 7 pm CET)Responsibilities:Design, train and deploytransformer-based AI modelsfor text and image applications.Manage theend-to-end ML lifecycledata preparation, model design, validation, and deployment.Collaborate with data scientists, engineers, and domain experts onAI-driven prototypesand proof-of-concepts.Stay up to date with advancements inGenerative AIand integrate emerging tools and techniques.Skills:5+ years of relevant experience in Data ScienceStrong proficiency inPythonand frameworks such asPyTorch, TensorFlow, Scikit-learn.Experience withtransformer architecturesandGenAI frameworks(LangChain, LlamaIndex, RAG, vector DBs).Solid understanding ofMLOps/DataOpsand cloud platforms (Azure preferred, AWS or GCP accepted).Familiarity withprobabilistic modeling(Bayesian Networks, Markov Models).Excellent analytical and problem-solving skills.Fluent Englishand strong communication abilities.SNI sp. z o.o. will process personal data for the purpose of the recruitment process in accordance with the Data Privacy Policy. The data may also be stored and processed for future recruitment purposes, in accordance with the given consent.Seniority levelMid-Senior levelEmployment typeContractJob functionInformation Technology and ConsultingIndustriesIT Services and IT Consulting and Information ServicesReferrals increase your chances of interviewing at SNI by 2x.Get notified about new Data Scientist jobs inEuropean Union.#J-*****-Ljbffr

5+ years of relevant experience in Data Science Strong proficiency in Python and frameworks such as PyTorch, TensorFlow, Scikit-learn . Experience with transformer architectures and GenAI frameworks (LangChain, LlamaIndex, RAG, vector DBs). Solid understanding of MLOps/DataOps and cloud platforms ( Azure preferred , AWS or GCP accepted). Familiarity with probabilistic modeling (Bayesian Networks, Markov Models). Excellent analytical and problem-solving skills. Fluent English and strong communication abilities. SNI sp. z o.o. will process personal data for the purpose of the recruitment process in accordance with the Data Privacy Policy. The data may also be stored and processed for future recruitment purposes, in accordance with the given consent.