Data Scientist

120 - 140 PLN/ godz.B2B (netto)
SeniorFull-time·B2B
#350751·Dodano 3 dni temu·0
Źródło: nofluffjobs.com
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Tech Stack / Keywords

PythonPySparkSQLGenAILLMPrompting TechniquesRAGGraphRAGAgentic AI ConceptAzure ecosystemADFDatabricksSQL ServerADLSData analysisData transformationData modelingGitGitHubNeo4jCypherGraph databasesAgile/ScrumAzure DevOps

Firma i stanowisko

Link Group is seeking a Data Scientist with strong engineering capabilities and hands-on experience in Generative AI solutions. The role involves working on modern AI functionalities such as LLM, RAG, and Agentic AI combined with data engineering and production-grade development within the Azure ecosystem. The position offers long-term cooperation in an international environment.


Wymagania

  • Strong hands-on experience with Python, PySpark, and SQL
  • Practical experience with Generative AI including LLMs, prompting techniques, RAG / GraphRAG, and Agentic AI concepts
  • Experience with Azure ecosystem: ADF, Databricks, SQL Server, ADLS
  • Experience in data analysis, transformation, and modelling
  • Experience working with shared repositories and collaborative development using Git / GitHub
  • Understanding of scalable and maintainable data solution design

Nice to have:

  • Experience with Neo4j, Cypher, knowledge graphs, or graph databases
  • Experience working in Agile/Scrum environments
  • Familiarity with Azure DevOps

Obowiązki

  • Develop and enhance functionalities related to Data Science and Generative AI, including chatbots, Agentic AI solutions, and RAG / GraphRAG implementations
  • Improve and optimize existing PySpark/Python code to ensure performance, maintainability, and alignment with coding standards
  • Develop and maintain data pipelines using Azure technologies: Azure Data Factory (ADF), Azure Databricks, SQL, Azure Data Lake Storage (ADLS)
  • Perform robust data analysis, transformation, and interpretation
  • Collaborate closely with Consumption/API teams to integrate developed solutions and ensure compliance with engineering standards
  • Promote coding best practices and contribute to technical improvements across the team
  • Proactively identify opportunities to optimize Data Science solutions and services

Oferta

  • Long-term cooperation
  • International environment
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