... GenAI implementacja rozwiązań produkcyjnych AI – tworzenie stabilnych rozwiązań gotowych do wdrożenia na skalę produkcyjną wdrażanie narzędzi agentowych (agentic AI) – implementacja koncepcji narzędzi agentowych AI w projektach Wymagania: doświadczenie w sprzedaży rozwiązań Data Science lub opartych na AI/GenAI minimum 3-5 ...
... first principles. * Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build * Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases * ...
... optimization, IT systems design, implementation, maintenance, and business application development. We are looking for a Senior Data & AI Engineer who combines strong data engineering skills with a customer-oriented and advisory mindset . In this role, you’ll work closely with our customers to understand their business and data ...
... onboarding and offboarding processes in the Coupa platform supporting project resource management activities, from onboarding through work effort reporting and data validation supporting Project Managers in day-to-day communication and coordination activities monitoring project budgets, purchase orders and maintaining project ...
Aviva plc is seeking an experienced Data Scientist to join the Services Excellence Centre in Warsaw. You will develop and deploy Data Science and ML models, work with Python, R, and SQL, and present findings to business stakeholders. We value a 5+ year track record, strong English, and experience in cloud-based environments. ...
... 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 ...
... 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 ...
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 ...
... 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 ...
... such as LangChain, LangGraph, LlamaIndex, and MCP Design and optimize ML models, embeddings, and AI evaluation processes Implement MLOps pipelines covering training, validation, inference, monitoring, and continuous improvement Deploy and scale AI workloads using Docker and Kubernetes Work with vector databases and graph ...
... 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 ...
... hallucination verifier to audit AI-generated actions before execution - Conduct the full cycle of data modeling and algorithm development, including modeling, training, tuning, validating, deploying, and maintaining services, (AI breadth). - Strong domain expertise in the AI area including LLM, Time Series, RAG, fine-tune ...
... Relativity, engineers do more than write code — they build systems that let users uncover insights from complex data at scale using cloud-native architecture, AI, and modern tools. The AI Platform group builds the agentic foundation that powers Relativity’s AI products, including aiR Assist and ClaiR. The Agent Harness ...
... projektowaniu i wdrażaniu architektury rozwiązań opartych o AI oraz usługi chmurowe Praktycznej znajomości usług AI/ML i platform chmurowych (Azure AI, Azure OpenAI, Azure Machine Learning lub rozwiązań równoważnych) Bardzo dobrej znajomości Pythona oraz narzędzi i frameworków wykorzystywanych do budowy rozwiązań AI Umiejętności ...
... Terraform and Docker. Familiarity with responsible AI and AI security practices, including prompt-injection defenses. Responsibilities Deliver production-ready GenAI/ML features for the supply chain risk management domain. Collaborate with AI engineers, Data Engineers, Product Managers, and Architects to bring AI solutions ...
Astek Polska sp. z o.o. poszukuje Data Engineera do pracy nad projektami dla sektora farmaceutycznego w Warszawie. Rola obejmuje projektowanie i rozwijanie skalowalnych architektur danych, tworzenie hurtowni danych i Data Lake, a także implementację złożonych procesów ETL/ELT w środowisku AWS. Wymagana jest praktyczna wiedza ...