... languages supported by the primary data platform Optimize data retrieval, develop dashboards, and perform data validation Collaborate with diverse teams including data scientists, analysts, and IT professionals Provide thought leadership on Data Software Engineering best practices and technology trends Maintain and ensure integrity ...
... consulting, with a focus on Data/AI technologies and related business use casesStrong technical knowledge of data platforms (e.g., Databricks, Snowflake, AWS/Azure/GCP Data Services), ETL processes, data modeling, BI tools, and data visualization frameworks (e.g., Power BI, Tableau)Familiarity with data science techniques and proficiency ...
We are seeking a Senior Platform Engineer to design and build the API and Gateway layer that unifies our Data & AI Platform, transforming a fragmented service landscape into one coherent, secure, and observable product. Responsibilities Design and build APIs and SDKs on top of distributed platform services using Python/FastAPIDefine ...
... with themComfortable with ambiguity takes ownership and drives to outcomes without waiting to be told what the answer is Nice to have Familiarity with major data cloud platforms (Databricks, Snowflake) and hyperscalers (Azure, GCP or AWS) and how data and AI solutions are architected and deployed on themExperience with ...
... with themComfortable with ambiguity takes ownership and drives to outcomes without waiting to be told what the answer is Nice to have Familiarity with major data cloud platforms (Databricks, Snowflake) and hyperscalers (Azure, GCP or AWS) and how data and AI solutions are architected and deployed on themExperience with ...
... szkoleniami, doradztwem organizacyjnym i rekrutacją specjalistów. W ramach naszych usług pomagamy klientom poprzez szkolenia i doradztwo wdrażać innowacyjne rozwiązania AI, które usprawniają pracę i podnoszą efektywność zespołów. Zapraszamy do zapoznania się z ofertą i zaaplikowania! Miejsce pracy: Siedziby naszych Klientów (głównie ...
... Projektowanie architektury aplikacyjnej, integracyjnej oraz architektury danych. Definiowanie standardów dotyczących bezpieczeństwa, jakości, wydajności oraz AI Governance. Współpraca z zespołami deweloperskimi, Data Science, DevOps, Cybersecurity oraz interesariuszami biznesowymi. Ocena wykonalności technologicznej inicjatyw ...
... service delivery center network by EY. The opportunity We are seeking a highly skilled and experienced AI Architect with a minimum of 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture in Cloud. In ...
... 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 ...
... implementation of modern Data & AI platforms. Responsibilities End-to-End Architecture: Define and design comprehensive, scalable architecture for enterprise AI and data solutionsAI-Native Innovations: Design advanced AI-native patterns including RAG, agentic workflows, and robust data pipelinesBridge Product & Tech: Translate ...
... vulnerability management workflowsExperience with AI/LLM platforms or frameworks such as Azure OpenAI, Azure AI Foundry, Amazon Bedrock, Microsoft Copilot Studio, LangChain, or AutoGenUnderstanding of AI and LLM application security risks, including prompt injection, insecure output handling, data leakage, excessive agency, insecure ...
... Strong background in Python, mainly for hooking up AI models, automating stuff, and handling orchestration logic 1–2 years of hands-on experience with Generative AI and large language models (LLMs) Practical experience in machine learning engineering: data preparation, working with vector databases in the cloud, and training/optimizing ...
... of data engineering, integration patterns, data governance, and privacy-by-design principlesPractical experience or strong theoretical grounding in Generative AI, including orchestration frameworks (LangChain, LlamaIndex), vector databases, and model APIsExcellent client engagement, communication, and presentation skills, ...
... LangGraph, Microsoft Agent Framework, LangChain, LlamaIndex. - Familiarity with cloud platforms, preferably Azure or AWS , including services such as Azure OpenAI, Azure AI Foundry, AWS Bedrock, serverless services, containers, storage, and identity/security concepts. - Experience using modern AI engineering tools such as ...
... narzędzia Azure DevOps; Mile widziane kompetencje techniczne w szerokim zakresie technologii analitycznych Microsoft: Power BI, Azure (MS Fabric, SQL, Synapse, Data Lake, Data Factory, Logic Apps); Znajomość narzędzi AI (np. Microsoft Copilot) i umiejętność ich wykorzystania do usprawniania procesów, analizy danych oraz automatyzacji ...
... developing reusable Terraform modules and consistent patterns for internal engineering teams. The role centers on implementing and managing cloud infrastructure for a data mesh architecture project with a focus on the AI stack in GCP, collaborating closely with data engineers and architects to optimize the GCP platform. Responsibilities ...
... projects. Responsibilities Design and develop an enterprise-grade test automation platform using JavaScript, Selenium, SQL, and API testing frameworks Build and maintain reusable automation libraries and components to ensure scalability and maintainability across projects Integrate automated testing solutions into CI/CD pipelines ...
... Business (AU), Data & Analytics Services in Global/ Europe. Main stakeholders are business representatives from AU divisions (AUMP, AUMA, AUPI, AUEN, AUMC), Data & Analytics product owners, service owners, and delivery partners. You will be mainly accountable for: - Executing sustainable maintenance of services, solutions, ...
... department to make data-driven decisions faster and more efficiently. To achieve this, your focus will be on automating data processes and implementing modern AI tools directly within our Databricks platform and Looker. Your key responsibilities include: CRM & Loyalty Insights: As a Data Analyst – CRM, you are the analytical ...
... engineering, and platform teams to turn data into actionable insights and scalable analytical workflows. Responsibilities: Explore, analyze, and interpret large datasets. Develop features, analytical logic, and data science workflows. Build and maintain data pipelines on AWS. Apply statistical methods and machine learning ...