Python állások VIII. kerületben (it programozás, fejlesztés)

Developing and enhancing the MSCI Index Development Platform and the IndexMetrics Real-Time application using modern software engineering practices, Python, Azure, and AI-assisted development tools...

• Leading the EU TechOps team including recruiting, one-on-ones, performance evaluation, career development, and regional on-call coverage in coordination with the US team
• Providing technical leadership for Tulip's cloud and operational infrastructure in partnership with the US lead

Owning the deployment, health, and continuous improvement of Tulip's multi-cloud, multi-region SaaS environments across the US, Europe, and Asia...

Developing and maintaining the fat client application running on Windows...

Developing and maintaining the fat client application running on Windows...

• Deliver reporting that matters – handle internal requests for reports, dashboards, and data extracts, change requests, and data exploration needs.
• Build with Power BI – design and maintain dashboards using data lake sources (SQL, Databricks).

• Develop, integrate and operate scalable AI applications
• AI agents and intelligent assistance systems
• Implement AI use cases from proof of concept through production
• Advise business teams
• Define reusable AI standards and architectures, and ensure secure, stable and cost-effective production operation

• Collaborate with business stakeholders to identify opportunities and translate business challenges into actionable Data Science and AI use cases.
• Design, develop and evaluate machine learning models using statistical methods, supervised and unsupervised learning techniques.

L3 support, incidents and problems, RCA, deployments/upgrades/patching, monitoring, automation, ITIL change management, security and data governance....

• Contributing to projects for global clients in a market-leading, innovative environment
• Gaining hands-on experience with technologies used in real industrial automation solutions
• Receiving training and support from experienced colleagues
• Gradually taking on more responsibility

• Working on complex and extremely varied data sets from some of the world’s largest organizations to solve real-world problems
• Developing high-quality data science products and solutions for clients as well as assets for internal data teams, focusing on modeling

• Oracle adatbázisok telepítése, konfigurálása, üzemeltetése és monitorozása Linux alapú HA környezetben, RAC architektúrában.
• Adatbázisok teljesítményének mérése, hangolása és optimalizálása (SQL lekérdezések és adatbázis-műveletek optimalizálása, kapacitástervezés)

• Support improvements to reliability, availability, performance and scalability of the bp pulse EV charging network, technology stack and services
• Support incident response, root-cause analysis and continuous improvement activities to enhance system resilience

• Design and build scalable, high-performance distributed systems and microservices.
• Develop concurrent applications using robust multi-threaded architecture in Linux environments.
• Leverage AI developer tools like GitHub Copilot and Claude Code to accelerate the SDLC.

Work with feature teams to deliver complete components for broader platform integration while performing development on the Lending Operations Technology stack for both strategic initiatives and user-requested enhancements. ...

• Improve the reliability, availability, performance and scalability of the bp pulse EV charging network, technology stack and services
• Support incident response, root-cause analysis and continuous improvement activities to enhance system resilience

• Owning the design, development, and optimization of core ML models, especially in Computer Vision and Deep Learning
• Leading the development of efficient, scalable training and inference pipelines
• Mentoring junior ML engineers, reviewing code and sharing best practices

Lead identification of high-impact use cases for ML/AI/GenAI, prioritizing those that drive business performance, uncover optimization opportunities, and fuel revenue and margin growth....

• Investigate data quality issues, anomalies, reconciliation breaks, and inconsistencies across multiple systems.
• Perform structured root cause analysis (RCA) to identify underlying data and process issues.
• Trace data through different processing stages to understand where errors originate.

• Design, build and maintain enterprise Azure cloud infrastructure and platform services.
• Develop and maintain Infrastructure as Code solutions using Terraform.
• Design, implement and maintain Azure Landing Zones, governance policies and platform standards.