... looking for a hands‑on Senior Data Engineer / Data Scientist with a strong Python background and proven experience in AI‑driven solutions. This role combines data engineering expertise with analytical and modeling capabilities. You will be responsible for building scalable data pipelines and developing AI/ML and agent‑based ...
... human-in-the-loop feedback loops to maintain model quality and trustWork with data specialists to design pipelines for collecting, cleaning, and structuring information for AI agentsDesign CI/CD pipelines, container standards, and cloud strategies for infrastructure migrations, cost optimization, and high availability Requirements Strong ...
... technicznej. • Współpraca z zespołami technicznymi i biznesowymi. • Udział w implementacji, testach oraz optymalizacji rozwiązań. Wymagania • Doświadczenie w Data Modelling oraz Solution Design. • Bardzo dobra znajomość Python. • Bardzo dobra znajomość SQL oraz relacyjnych baz danych (Oracle, PostgreSQL, MS SQL lub podobnych). ...
... Responsibilities In this role, you will ensure our payroll data is pristine, compliant, and processed seamlessly. Your daily playground will involve: - Stakeholder Data Management: Coordinate and manage data inputs from various internal and external stakeholders, ensuring all submissions are timely and complete. - Data Validation ...
... use cases across the bank. As a Data Scientist/ AI engineer you will implement AI solutions for automatic processing of information from documents, for example data classification, extraction with the help of Google Document AI and other latest AI and agentic tools. To be successful at this role you need to know data science ...
... corresponding artifactsPerform hands-on software engineering activities, i.e., write code and create data models in primary technology stacks, read/understand code and data models for non-primary technology stacks, apply software design patterns and practicesBuild data management environments (data platforms), where data and AI products ...
EPAM Campus offers a free Data Science training program to help you gain market-oriented hard and soft skills alongside IT professionals. In this intensive course, you will dive deep into statistics & data analysis, understand regression, classification and clustering techniques, as well as explore neural network basics. ...
... agentic workflows that turn raw operational data into autonomous, self-validating reports. You map business processes, decide what makes sense to automate with AI and what doesn't, then build it and maintain it. No task queue — you are the source of initiatives. Current reporting takes too long and don't speak AI language; ...
Poland, Warszawa
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... AI, znajomość narzędzi automatyzacji i integracji, doświadczenie w budowaniu procesów AI/AI governance, portfolio zrealizowanych wdrożeń, szkoleń lub Agentów AI. Co oferujemy? udział w realnym, kompleksowym wdrożeniu AI w 90-osobowej organizacji, możliwość wpływania na sposób wykorzystania AI w całej firmie, dużą samodzielność ...
... global clients. Detailed Responsibilities: Design, develop, and maintain robust data pipelines utilizing Azure Databricks and PySpark to handle complex enterprise data requirements. Build scalable ETL/ELT solutions tailored for large-scale, heterogeneous data ecosystems across multiple business domains. Analyze business requirements ...
... automatyzacji wdrożeń DAG-ów i kodu ETL na OpenShift (np. GitLab CI/CD, Jenkins, ArgoCD) • Znajomość narzędzi Infrastructure as Code • Znajomość Pythona (głównego języka Airflow) oraz bibliotek do przetwarzania danych i integracji z bazami • Umiejętność analitycznego myślenia, zidentyfikowania problemu i zaproponowania skutecznego ...
... 600 - 20 825 Annual bonus based on your annual performance and company results. Our team is based in Warsaw and Cracow. About the team: As part of the Data & AI area, we implement projects based on the practical "data science" and "artificial intelligence" applications of an unprecedented scale in Poland. Data & AI is ...
Netguru is a trusted partner in digital commerce. The company helps leading brands modernize B2B solutions, marketplaces, and retail ecosystems. Since 2008, it has empowered businesses with cutting-edge technology, AI-powered personalization, and world-class engineering and design teams. A certified B Corporation®, Netguru ...
... and data platform modernization. Sales Readiness - Develop close relationships with sales teams to promote effective sales methodologies and ensure Business Data Cloud is embedded in account strategies. - Participate in demo environment design, planning, and configuration; help maintain demo assets for repeatable use. ...
... combines data engineering with elements of cloud and BI, offering exposure to modern platforms such as Microsoft Fabric. Responsibilities Design, build, and maintain ETL/ELT data pipelines using Azure Data Factory and Microsoft Fabric (Lakehouse / Warehouse, OneLake) Develop and optimize data ingestion and transformation ...
... maintenance tasks - Collaborate with the team architect, data engineers, business analysts and software developers in and outside of the Reporting Solutions domain To succeed you will have: - Several years of proven experience as data engineer in the financial industry across the whole development and operations cycle. - ...
W naszym projekcie nie piszesz kodu od zera. Jesteś pilotem, który przy użyciu agentów AI tworzy backendową warstwę architektury 3-warstwowej na podstawie User Stories. Twoim głównym zadaniem jest Code Review kodu generowanego przez AI, dbanie o czystość architektury backendowej (Clean Code) oraz rozwiązywanie problemów, ...
... preparing and analysing data from various sources to develop and optimise (Agentic)AI and machine learning models; design and standardise effective, scalable AI environments, AI blueprints and processes - designing, implementing and operating software solutions for the use of structured and unstructured data, particularly ...
Relout poszukuje doświadczonego Java Developera / Kafka Engineera do projektu dla polskiego klienta z sektora bankowego. Zadania obejmują tworzenie backendu opartego na Javie, Spring Boot i architekturze event-driven z intensywnym użyciem Apache Kafka, Kafka Streams i kSQL.