... 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 ...
... 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 ...
... and adoption into a recurring planning or commercial process, with a clear view of what worked and what didn'tFluent in CPG data landscape: transaction/order data, product data, customer data (from CRM systems and loyalty programs), syndicated and panel data (NIQ/Nielsen, Circana, Kantar), retailer POS and portal feeds, ...
Diverse CG Sp. z o.o. Sp.k. is looking for a Data Management Specialist in Poland, Województwo pomorskie. The role involves designing and building scalable BMC Helix data replication solutions while maintaining data architecture and developing data pipelines. Candidates should have a Master's degree in a related field, ...
... the AI platform and available models, and communicating them in a structured way to the Data & AI team Operational Support for AI Governance - Administering domains and access rights on the internal AI platform in line with established policies and guidelines - Reporting on the utilization of budgets for AI tools and licenses ...
... AI models, ensuring high performance, reliability, and interpretability within agentic frameworks Design and implement data pipelines and infrastructure for training and deploying AI agents, leveraging Data Engineering best practices Apply Software Engineering principles to build production-ready, maintainable, and well-documented ...
... skills to daily work Requirements 5+ years of experience in data analytics, AI engineering, or related fieldsPractical experience with agent configuration and GenAI-assisted analytics, building analytical solutions that allow users to ask natural-language questions about enterprise dataProficiency in SQL and data analysisHands-on ...
... skills to daily work Requirements 5+ years of experience in data analytics, AI engineering, or related fieldsPractical experience with agent configuration and GenAI-assisted analytics, building analytical solutions that allow users to ask natural-language questions about enterprise dataProficiency in SQL and data analysisHands-on ...
... experience with software design and architecture. Optional, Master's degree or PhD in Computer Science or a related technical field., 5 years of experience with data structures and algorithms., 3 years of experience with software development in training, developing or applying machine learning models., 1 year of experience ...
Nordea Bank Abp in Poland is seeking an AI Gateway Product Owner for the Data Mesh and AI Platforms team to drive strategy, roadmap, and delivery of an enterprise AI Gateway platform. The role requires cross-functional collaboration with engineering, governance, risk, and compliance to expose LLMs, MCPs, and A2A patterns ...
... 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 ...
Trinetix seeks a Senior AI Engineer to design and build production-grade AI applications and services using Python. You will turn business and AI use cases into reliable, scalable technical solutions, working with LLMs, backend services, APIs, and enterprise systems. You will contribute to architecture decisions, implement ...
... organisation. - Strong understanding of data value, data management, and applying technology to business strategy. - Experience in Financial Services, especially in data‑focused domains (Data Architecture, Data Governance, Data Management). - Proven logical data modelling skills and experience delivering conceptual and logical ...
... skilled Senior AI/ML Solution Engineer with expertise in AI Agentic Security Testing to join our client's security team and support key R&D activities. This project aims to enhance software security testing across the client's product ecosystem, ensuring the highest standards of protection for customer data. The Senior AI/ML ...
... Using a wide range of model modeling techniques, including gradient boosting, Bayesian methods, causal inference, optimization, deep learning, and Generative AI (LLMs, Agentic AI) Working hand-in-hand with our Data Engineers who support the heavy-lifting of data processing on GCP Working closely with Analysts, PMs, and ...
... opportunities. How you will get the job done designing and implementing data models and architectures that support financial data management developing and maintaining ETL processes to integrate data from diverse sources, including market data feeds, customer information systems, and transactional databases ensuring data ...
... prioritization of AI investments. Design & Deliver AI Solutions Lead AI initiatives from concept through pilot to production deployment. Design scalable, secure, and maintainable AI solution architectures in collaboration with Data, Architecture, Security, and Engineering teams. Coordinate implementation activities across internal ...
... systems using Azure or GCP with containerization and Kubernetes - Building applications following engineering best practices and clean code principles - Conducting data exploration, preparation, and modeling - Collaborating with domain experts on data pipelines and domain‑specific datasets - Applying deep learning and NLP techniques ...
... 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 ...