Średnia wypłata: zł20 932 /miesięczne
Więcej statystykOdbieraj najlepsze oferty pracy na swój adres mailowy
- ...components — Azure (Microsoft Fabric, Azure Machine Learning), AWS (SageMaker), GCP (Vertex AI, BigQuery ML), Snowflake (Snowpark ML, Cortex), Databricks (MLflow, Mosaic AI), or Palantir (Foundry Code Workspaces, Foundry ML, AIP), Ability to communicate analytical results...ZasugerowanePraca zdalna
- ...components — Azure (Microsoft Fabric, Azure Machine Learning), AWS (SageMaker), GCP (Vertex AI, BigQuery ML), Snowflake (Snowpark ML, Cortex), Databricks (MLflow, Mosaic AI), or Palantir (Foundry Code Workspaces, Foundry ML, AIP), Experience leading delivery in a client-...ZasugerowanePraca zdalna
- ...reusable skills and review practices for AI-assisted development. Designing and delivering AI agents and conversational analytics with Cortex AI (Cortex Agents, Cortex Analyst, Cortex Search) and Snowflake CoWork, grounded in governed semantic views. Advising clients on...ZasugerowanePraca zdalnaPraca wieczoramiElastyczne godziny
110 - 190 zł / stawka godzinowa
...investment management, data, or operational processes Experience with Retrieval-Augmented Generation (RAG) Exposure to Snowflake Cortex Experience implementing intelligent data-quality or validation services Experience with operational analytics and workflow...Zasugerowane130 - 185 zł / stawka godzinowa
...stakeholders Nice to Have Experience in large-scale enterprise environments Exposure to AI-driven data solutions beyond Snowflake Cortex Certifications in Snowflake or Azure We are looking for an experienced Senior Snowflake Data Architect to join our growing...ZasugerowanePraca zdalnaPełny etat- ...translate them into scalable solutions. build and integrate applications leveraging LLMs with cloud AI services (e.g. Snowflake Cortex, AWS Bedrock and other). design and implement retrieval-augmented generation (RAG/GraphRAG) pipelines, combining enterprise data...ZasugerowanePraca zdalnaElastyczne godziny
- Łatwa aplikacjaData Architect...platform for AI workloads, including feature data, training datasets, vector/embedding storage, and RAG data pipelines (e.g. Snowflake Cortex, Azure OpenAI, Azure AI Search, Azure Machine Learning) Set standards for data quality, lineage, metadata, and governance,...Zasugerowane
