... Design, develop and maintain Python-based satellite image processing end-to-end pipelines for multispectral, hyperspectral, SAR, and other Earth observation data. Write clean, efficient, and well-documented code using Python and other relevant technologies. Collaborate with cross-functional teams to define requirements, ...
... performance, reliability, and observability. Collaborate closely with GenAI engineers to integrate AI-driven features and document-processing flows. Implement data processing pipelines for structured and unstructured data. Work with AWS. Contribute to the platform’s architecture, design patterns, and technical decision-making. ...
... Experience building reliable platform pipelines for provisioning, validation, deployment, policy enforcement, release management, and operational lifecycle processes Data & AI Platform Services: - Practical knowledge of GCP services supporting data and AI platforms, particularly Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Storage, ...
... primary AI development tool, with the Claude app as secondaryUnderstanding of credit risk workflows, model integration, and business rating systemsBackground in data modernization initiatives, including legacy database exit strategies such as DB2Capability to work within an AI-driven SDLC environment and integrate quickly ...
... measurable and integrated across the entire software development lifecycle. The perfect candidate will offer substantial experience in low-latency trading, market data, or similar high-performance distributed systems, paired with a solid C++ foundation and a proven history of delivering production monitoring, telemetry, and ...
... management and closure of findings - proven ability to design, implement, and monitor control frameworks and operational processes - experience in managing structured data, ensuring data integrity and consistency across systems Nice to have - previous experience operating in a highly regulated environment will be considered an asset ...
... primary AI development tool, with the Claude app as secondaryUnderstanding of credit risk workflows, model integration, and business rating systemsBackground in data modernization initiatives, including legacy database exit strategies such as DB2Capability to work within an AI-driven SDLC environment and integrate quickly ...
... measurable and integrated across the entire software development lifecycle. The perfect candidate will offer substantial experience in low-latency trading, market data, or similar high-performance distributed systems, paired with a solid C++ foundation and a proven history of delivering production monitoring, telemetry, and ...
... seat in Warsaw (00-633), Polna 11 Street, („PwC” or “we”) will be the controller of your personal data submitted in your application for a job. Your personal data will be processed for the purpose of performing a recruitment process for the job offered. If you give us explicit consent, your personal data will be also processed ...
... planning efforts to ensure our platform is resilient and scalable as we grow. · Build tools and automation to eliminate manual TOIL, improve engineering velocity, developer experience, and improve system reliability. · Define and manage SLOs and error budgets in partnership with Engineering teams. · Contribute to incidents, problems, ...
Ter versterking van ons team zijn wij op zoek naar een Medior Process Mining Expert die direct en zelfstandig inzetbaar is en een sterke affiniteit heeft met data. Je bent verantwoordelijk voor het analyseren en optimaliseren van bedrijfsprocessen door middel van process mining technieken. Je werkt nauw samen met verschillende ...
... issues. - Work closely with internal technical teams, SAP experts, and third-party partners to resolve system challenges. - Monitor and improve integrations, data quality, and end-to-end process performance. - Participate in application releases, enhancements, upgrades, and post-deployment validation activities. - Create ...
... periodic calibration, and performance assessment Implementing model development and monitoring in the in-house Python-based Analytics library Analyzing real-world data to develop and enhance risk models, ensuring understanding of features, assumptions, and limitations Participating in the validation of models, identifying target ...
... hana, including data modeling, extraction, transformation, and loading (etl) processes. - 2. Proficiency in sap hana studio, sap bw modeling tools, and other sap data warehousing tools. - 3. Strong understanding of sap bw on hana architecture, data provisioning methods, and reporting tools. - 4. Ability to lead and mentor technical ...
... 2018, item 1000) and in agreement with Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation).
... 2018, item 1000) and in agreement with Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation).
... policies, where these capabilities are deployed. Assess the requested destinations, affected users, permitted activities and potential exposure of organizational data., Evaluate website allowlisting and internet-access exceptions against documented business needs, destination reputation, data sensitivity and existing security ...
... privacy-by-design principlesPractical experience or strong theoretical grounding in Generative AI, including orchestration frameworks (LangChain, LlamaIndex), vector databases, and model APIsExcellent client engagement, communication, and presentation skills, with the ability to manage ambiguity and deliver results in complex environmentsFluency ...
... mitigate risks related to AI adoption and deployment. What we're looking for Experience Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field. 5+ years of experience in AI, Data Science, Machine Learning, Digital Innovation, or related technology roles. Proven ...