AI Analyst

5 ноября 2026 г.

Гибрид

Senior

Warszawa, Poland

Indeed

Важно учесть

Исходная вакансия на польском
Скорее всего, польский нужен для работы. Точнее скажет работодатель

Описание

IT services company delivering software, embedded, data and cloud projects for its partners. The role covers building, developing and deploying AI and GenAI solutions that support business processes in a banking project, including data-driven solutions processing large data volumes in Azure Databricks. The specialist designs and implements LLMOps pipelines, prepares analyses, prototypes and recommendations for business areas, and supports data teams in building AI best practices. The engagement is delivered in a hybrid mode with 40% of working time from the office.

Обязанности

Participation in a project in the banking industry
Building, developing and deploying AI and GenAI solutions supporting business processes
Creating data-driven solutions processing large data volumes in Azure Databricks
Designing and implementing LLMOps pipelines and experimenting with new Databricks ecosystem features
Preparing analyses, prototypes and recommendations for business areas
Supporting data teams in building AI best practices and a data-driven culture
Collaborating with business teams on implementing AI-based solutions and process automation

Требования

Higher technical (STEM) degree
Proficiency in AI tools supporting software development and data analysis, such as GitHub Copilot, Genie Code or similar
Experience identifying AI applications in business processes and assessing when process optimization is more efficient than AI implementation
Very good knowledge of Python and ML/AI frameworks
Experience working with large datasets, including unstructured data
Ability to translate business needs into concrete AI-based solutions
Experience designing and deploying end-user solutions based on Generative AI and language models, including tests, harness and alignment
Experience running end-to-end projects, from problem analysis to production deployment
Ability to present complex technical issues in a simple and understandable way
Practical knowledge of building, structuring and using knowledge bases
Practical experience defining Skills and MCP (Model Context Protocol)
Nice to have: experience working with Databricks One, AI/BI Dashboards & Genie and Databricks Apps
Nice to have: experience working with conversational data systems
Nice to have: experience optimizing processes and data processing for small language models (SLM)
Nice to have: experience in the banking or financial sector
Nice to have: practical knowledge of the Azure environment and modern AI/GenAI platforms

Условия

Opportunity to provide services across diverse Software, Embedded, Data and Cloud projects
Involvement in additional pre-sales and expert initiatives
Access to private medical care, a sports card and a cafeteria platform

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