... Your tasks Migrating data and analytics processes from Oracle, Python, and SAS to Google BigQuery using Dataform and dbt Designing, developing, and maintaining data processing pipelines and analytical solutions with BigQuery, Dataform, SQL, and Python Contributing to the reshaping and modernization of the Analytics Data Platform ...
... 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 ...
... 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 ...
... language at B1 level - Hands-on, professional experience with BI/ETL/Bigdata Technologies - Strong understanding and experience with design techniques of relational databases - Experience with data lakes with Databricks or Snowflake - Experience with real-time data processing and data warehousing aggregation What we look for As ...
... (KPIs). Facilitate Sprint Planning, Daily Scrums, Sprint Reviews, and Sprint Retrospectives as part of an Agile development team. Ensure compliance with P&G's data privacy, security, and ethical AI guidelines. Make data-driven decisions based on complex environments. Develop and run experiments to validate or disprove concepts. ...
... with a solid understanding of AI, ML, and data technologies. You will focus on three categories of project GenAI Product development, ML Product development, and AI Platform enablement. Join a global team delivering AI-driven transformation for leading enterprises. Work with cutting-edge GenAI and ML technologies, collaborate ...
... 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 ...
... design and with data engineers on data availability and quality Requirements At least 4 years in software or ML engineering, with hands-on experience shipping AI/ML systems to production Strong Python skills — not just scripting, but writing maintainable, tested code for production services Practical experience with AI/ML ...
Customs Support Group delivers AI integration and automation engineering across enterprise systems in Poland. You will design, implement, and productionize AI solutions, integrating LLMs, APIs, and automation across cloud-native backends. The role emphasizes independent work, pragmatic problem solving, and collaboration ...
... Responsibilities Lead the design, implementation, and deployment of cloud-native solutions using Python, with a focus on scalability, security, performance, and containerization or serverless architectures Design architecture and structure of managed database solutions for efficient data handling Implement observability through ...
... Lead Data Engineer to lead the architecture, evolution, and delivery of our modern AWS-native data platform. This platform powers underwriting intelligence, GenAI-driven insights, and large-scale content processing, serving as the foundation for data products across the organization. You will own the full data lifecycle—from ...
... operations, you will manage project budgets, design domain taxonomies and establish evaluation benchmarks alongside ML engineers and product leaders. By leveraging GenAI tools, LLM-as-a-judge frameworks and process automation, you will streamline labeling workflows, maintain data governance policies and drive scalable dataset curation ...
Google Inc. is looking for a GenAI Forward Deployed Engineer in Warsaw, Poland. In this role, you will bridge the gap between advanced AI products and production environments. Your responsibilities include managing blockers to production and embedding with accounts for seamless deployment. Ideal candidates possess a Bachelor's ...
... metodykami Agile, Scrum lub Kanban oraz narzędziami Jira i Confluence Zrozumienie aspektów etycznych i prawnych związanych ze sztuczną inteligencją, w tym RODO, AI Act, zagadnień dotyczących biasu danych oraz explainability Bardzo dobre umiejętności komunikacyjne oraz zdolność do przekładania złożonych zagadnień technicznych ...
Dołącz do wydzielonego zespołu budującego od podstaw system ERP AI-Native. Jako Senior Fullstack Engineer będziesz kluczowym "builderem" odpowiedzialnym za dostarczanie kompletnych funkcjonalności end-to-end — od intuicyjnego interfejsu użytkownika po stabilną logikę biznesową i integracje. To projekt greenfield bez legacy, ...
... recovery, improving regulatory reporting, and implementing AI-driven solutions, delivering tangible savings and ensuring compliance across the organization. Main Responsibilities Design, develop, and optimize Python-based applications with clean, scalable, and maintainable code. Work with large SQL databases to design ...
... Responsibilities Lead the design, implementation, and deployment of cloud-native solutions using Python, with a focus on scalability, security, performance, and containerization or serverless architectures Design architecture and structure of managed database solutions for efficient data handling Implement observability through ...
... mission-critical projects. Responsibilities Design and develop scalable AI-powered backend systems for SysML-based engineering environments Build and maintain distributed data ingestion and ETL pipelines for large-scale engineering artifacts and technical documentation Develop and optimize LLM-powered workflows for metadata extraction, ...
... optimize CI/CD pipelines, Kubernetes-based deployments, and cloud infrastructure. Design, test, and optimize prompts for production LLM use cases. Build and maintain Agentic AI solutions, including tool/function calling, multi-agent workflows, evaluation pipelines, observability, and guardrails. Partner with product and ...