Senior Data Scientist

SNI; España; Híbrido; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading IT outsourcing firm is seeking a Senior Data Scientist to design and deploy AI models in Europe. This role involves managing the complete ML lifecycle and collaborating with experts on AI-driven projects. The ideal candidate has over 5 years in Data Science, strong Python skills, and experience with various AI frameworks. Remote work is possible with occasional on-site sessions in Prague.

Formación

• 5+ years of relevant experience in Data Science.
• Strong proficiency in Python and relevant frameworks.
• Experience with transformer architectures and GenAI frameworks.

Responsabilidades

• Design, train and deploy transformer-based AI models.
• Manage end-to-end ML lifecycle.
• Collaborate on AI-driven prototypes and proof-of-concepts.

Conocimientos

Data Science experience

Python proficiency

Experience with PyTorch

Experience with TensorFlow

Knowledge of transformer architectures

MLOps/DataOps understanding

Fluent English

Herramientas

PyTorch

TensorFlow

Scikit-learn

Azure

AWS

GCP

Descripción del empleo

Senior Data Scientist – Europe

SNI 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.net

For one of our clients based in Europe, we are currently looking for a Senior Data Scientist.

Details:

• Contract Duration: 6 months with extension
• Remote work: With occasional on-site team sessions in Prague
• US hours overlap: Min. 2–6 pm CET (ideally until 7 pm CET)

Responsibilities:

• Design, train and deploy transformer-based AI models for text and image applications.
• Manage the end-to-end ML lifecycle data preparation, model design, validation, and deployment.
• Collaborate with data scientists, engineers, and domain experts on AI-driven prototypes and proof-of-concepts.
• Stay up to date with advancements in Generative AI and integrate emerging tools and techniques.

Skills:

• 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.

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology and Consulting

Industries

IT Services and IT Consulting and Information Services

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