... McCormick AI engineers with their data needs. Your responsibilities will include implementing and maintaining data solutions delivering data required by McCormick AI solutions. You will work with Data Scientists and AI Engineers to convert business expectations into data solutions and data models used to deliver AI-driven recommendations ...
... transformsKnowledge of data quality principles and ontology designProficiency in English at a B2+ level Nice to have Experience developing multi-agent workflows using AIP LogicExposure to cloud-based AI services such as Azure OpenAI, AWS Bedrock, or Vertex AISkills in designing agentic flows and integrating external applications ...
... effective implementation of data systems by defining technology strategy, roadmap creation, implementing a data culture, refreshing communication and support with a data mindset, ensuring the adoption and sustainability of solutions, advisory and oversight for new paradigms and ways of working. Data technology can catalyze business ...
... 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 ...
... Project Management, Finance & Banking, or Business. Celonis Data Engineer or Data Analyst certification will be an asset. Responsibilities: Design end-to-end data architecture for process mining solutions, ensuring scalability, maintainability and alignment with project objectives. Define data engineering standards, best ...
... rozwoju kompetencji. O kliencie Nasz klient to lider rynku ubezpieczeniowego, ale również organizacja inwestująca w transformację cyfrową, rozwój analityki danych i AI. Pracując w tym środowisku, zyskasz możliwość: pracy nad realnymi wyzwaniami biznesowymi w skali milionów klientów, dostępu do nowoczesnych narzędzi i dużych zbiorów ...
... złożone rozwiązania AI, ML, data engineering, MLOps lub systemach przetwarzania danych, mającą praktyczne doświadczenie z chmurą Azure lub GCP oraz narzędziami AI/ML i GenAI, w tym Azure AI Foundry, GitHub Copilot, Vertex AI Enterprise, LangChain/LiteLLM, LLM, RAG, bazami wektorowymi, ewaluacją modeli lub agentów, a także ...
... Analytics Consulting practice. This position offers a hybrid model, with 2-3 days per week working from the EPAM location office. EPAM is progressively enhancing its Data Governance consulting practice. Our goal is to empower clients to attain superior business results by efficiently governing and managing data as well as implementing ...
FI12 UPM-Kymmene Oyj Global Functions in Wroclaw is seeking an experienced Solution Architect to join our Data and Digital Enablement team. You will translate business needs into scalable data and digital solutions leveraging Snowflake, dbt, Azure, and our Common Data Platform. You will work closely with stakeholders from ...
... solutions using Databricks, PySpark, SQL, batch and streaming technologies, workflows, and Unity Catalog. You will contribute to strategic warehouse and supply chain priorities in a fast-growing area, using the latest data engineering technologies in an international and collaborative environment. Requirements: SQL, Databricks, ...
... technologii oraz udział w tworzeniu strategicznego roadmapu dla obszarów Data & AI. Wymagania 10+ lat doświadczenia w obszarach Data Engineering, Data Architecture, AI lub Machine Learning. Doświadczenie w projektowaniu i implementacji enterprise-scale Data & ML platforms na Microsoft Azure. Znajomość: Azure Data Factory Azure ...
... experts and Data & Analytics teams on the development of analytical products Participating in the development and automation of analytical solutions using modern AI tools Working with data in the Databricks environment. Requirements Minimum 3 years of experience as a Data Scientist or Data Analyst Experience in the retail ...
... data architectures to deliver secure, scalable, and highly available data solutions supporting Gen AI and ML applications. Responsibilities Design, build, and maintain large-scale data pipelines and distributed processing systems using SparkDevelop and support data platforms that enable AI/ML and Generative AI applicationsArchitect ...
... SE poszukuje specjalisty ds. zarządzania danymi i operacj danych w projektach ML/CV. Doświadczenie w przygotowaniu danych, anotacji oraz zapewnianiu jakości datasetów będzie kluczowe. Praca wymaga współpracy z zespołem Data Science i ML w dynamicznym środowisku. Wymagana jest dobra znajomość Python (Pandas, OpenCV) oraz ...
... AI-powered solutions. Responsibilities Design, implement, and deploy cloud-native solutions using Python, with a focus on scalability, security, performance, and containerization or serverless architectures Design managed database solutions for efficient data management Implement observability through monitoring and logging Apply ...
... sources, Build repeatable data-mining processes, including data sourcing, scraping where appropriate, feature engineering, modelling and evaluation, Use Python and data science libraries such as pandas, NumPy, scikit-learn, SciPy and visualisation tools, Translate business questions into analytical approaches, explain results ...
... assets under management. They are executing a firm-wide data strategy to govern, manage and engineer data as a product across more than 70 business-owned sub-domains. As part of this, they are migrating to Databricks as the foundational layer of their Enterprise Data Platform, adopting a lakehouse architecture built on open ...
... collaboration Requirements 10+ years of program or project management experience in a technology services or consulting environmentProven track record delivering complex data, analytics, or AI programs at scaleHands-on experience with AI/ML delivery — solid understanding of MLOps, data pipelines, and AI SDLC frameworksStrong stakeholder ...
About the role As Actuarial Data Scientist you will develop and enhance advanced pricing models, blending actuarial techniques with modern data science. You will work closely with the Lead Actuarial Data Scientist, underwriting experts, and ERGO’s Group Data Science community to deliver AI-enabled solutions that improve ...
... problem framing, data preparation, model development, evaluation and basic deployment support (e.g. demand forecasting, churn prediction). - Explore and clean data; perform EDA to understand data and flag data quality issues. - Engineer features for tabular and time-series data. - Train, validate, and tune standard ML models ...