... 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 ...
... produkcyjne. Poszukujemy osoby, która potrafi łączyć potrzeby biznesowe z architekturą technologiczną oraz ma doświadczenie w budowaniu skalowalnych systemów AI w środowisku enterprise. Zakres obowiązków Projektowanie architektury rozwiązań i produktów wykorzystujących AI, GenAI oraz Machine Learning. Tworzenie koncepcji ...
... 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 this role, you will play a key role in the development and implementation of AI ...
We are looking for a hands-on AI Engineer to design, build, and maintain conversational AI agents in cloud environments. The role includes enabling interactions via voice, chat, email, or APIs, connecting AI to corporate systems and external models, and implementing evaluation and feedback mechanisms to ensure continuous ...
... technology evaluation, selection, and platform-level decisions Requirements AI Engineering: Deep understanding of patterns like RAG, agentic workflows, and hybrid AI systems using frameworks such as LangChain, Semantic Kernel, and LlamaIndexAI / ML Operations: Proven experience with MLOps / LLMOps pipelines, evaluation frameworks, ...
... success - Understanding and interest in technology trends in AI/ML area. - Good planning and organizing, ability to see the big picture as well as focused on details and errorless delivery. - Excellent professional communication skills, ability to approach senior stakeholders using appropriate level of details, terminology, ...
... maintain application security standards, baselines, and policy-as-code, and contribute to vulnerability management and risk-acceptance processesBuild, deploy, and maintain AI-assisted automations and agentic workflows that reduce manual effort across daily application security activities, such as: vulnerability triage, deduplication, ...
... structuring information for AI agents Design CI/CD pipelines, container standards, and cloud strategies for infrastructure migrations, cost optimization, and high availability Requirements Strong background in Python, mainly for hooking up AI models, automating stuff, and handling orchestration logic 1–2 years of hands-on experience ...
... have Experience with Multimodal AI, including vision/OCR, audio (TTS/STT), video processing, document intelligence, or synthetic data generationBackground in domain-specific environments such as Financial Services, Retail, Life Sciences & Healthcare, or other regulated industriesUnderstanding of AI security and risk management, ...
... 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 ...
... where AI solves real problems vs. where it’s a solution looking for one, Facilitate workshops with business and technical stakeholders to map processes, uncover pain points, and prioritize AI use cases based on value and feasibility, Build business cases for AI initiatives: expected impact, cost estimates, risk analysis, and ...
... Responsibilities Request different services or permissions from the Central Cloud Engineering team through the established process in JIRADesign, configure, and maintain the GCP environment for the data mesh architecture projectCollaborate with various teams to define cloud infrastructure requirements and ensure the scalability, ...
... teams including data scientists, analysts, and IT professionals Provide thought leadership on Data Software Engineering best practices and technology trends Maintain and ensure integrity and security of data sources and platforms Perform troubleshooting, debugging, and upgrading of data systems and applications Requirements ...
... workshops and meetings with clients to gather business objectives and technical requirements, ensuring alignment between client goals and our solutionsArchitect tailored data solutions, encompassing cloud-native platforms, data integration, advanced analytics, and AI/ML models, to provide actionable business insightsDevelop ...
... prowadziła w naszym imieniu stacjonarne szkolenia z wykorzystania AI dla nauczycieli i dyrektorów szkół. Szkolenia dotyczą praktycznego wykorzystania AI w edukacji, m.in. tworzenia materiałów edukacyjnych, automatyzacji części zadań nauczyciela, personalizacji nauczania oraz pracy z narzędziami AI. Prowadzimy ...
... 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 ...
... standards, versioning strategies, and contract testing practicesDevelop client libraries that provide consistent, reliable access to platform servicesArchitect and maintain a gateway layer that fronts platform services and removes direct fragmented accessEstablish orchestration and routing patterns that converge independent services ...
... responsible for ensuring the right solutions are designed, aligned to business objectives, and capable of delivering measurable value. You understand the Consumer & Retail industry: its commercial dynamics, margin pressures, operational challenges, and complex decision-making processes. You've seen data and AI initiatives fail to ...
... containers (Docker, Kubernetes), and cloud storage solutionsIntegrate and apply AI technologies within practical, real-world projectsEvaluate, select, and implement AI models and frameworks that go beyond basic tool usageIdentify opportunities where AI can improve process automation, analytics, or productsExplain AI concepts ...
... responsible for ensuring the right solutions are designed, aligned to business objectives, and capable of delivering measurable value. You understand the Consumer & Retail industry: its commercial dynamics, margin pressures, operational challenges, and complex decision-making processes. You've seen data and AI initiatives fail to ...