Python programmer állás, munka

Build and maintain data models and pipelines primarily using AI coding tools with consistent best-practice patterns, clear documentation, and high-quality standards...

• Automation and database management including creation of technical specification documents for functional requirements
• Management and creation of automations using Alteryx, Python, and SSIS
• Creation of reports and dashboards in Power BI
• Building data models and creating measures in DAX

• ETL folyamatok tervezése, fejlesztése, optimalizálása
• Adatáramlási rendszerek üzemeltetése és finomhangolása
• Skálázható adattárházak és adatpiacok kialakítása
• Logikai és fizikai adatmodellek létrehozása
• Sémadefiníciók karbantartása, fejlesztése
• Interaktív műszerfalak és riportok készítése

• Support of daily data production workflows across multiple asset classes including fixed income curves, futures, derivatives, and equity analytics
• Performance of quality assurance checks on incoming vendor data and internally generated analytics

• Design, develop, and optimize scalable data pipelines for processing large-scale structured and unstructured data
• Ensure reliability, performance, and scalability of data systems
• Build solutions to handle real-time streaming data from multiple sources

• AI-alapú rendszerek és alkalmazások architektúrájának tervezése és fejlesztése
• Microservice és event-driven architektúrák tervezése és technikai irányvonal meghatározása
• Architekturális döntések meghozatala, beleértve a megfelelő technológiai és tervezési megoldások kiválasztását

• Leading a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Providing mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients

• Define early-stage design patterns and usage frameworks for Databricks and AI-enabled analytics capabilities 
• Enterprise data models and architectural patterns that guide IT-built pipelines in Databricks 

• Design and ship production-grade agentic systems
• Take technical ownership of Compliance in a Box (CiaB) AI platform
• Architect and evolve AI reasoning layer and agent orchestration framework
• Build and maintain the GRC Brain (AI reasoning layer) and Agentic Cortex (agent orchestration framework)

• Writing reusable, testable, and efficient code mainly in Python
• Mastering the integration of user-facing elements developed by front-end developers with server side logic
• Integration of data storage solutions
• Handling security and data protection professionally and precisely

• Writing reusable, testable, and efficient code mainly in Python
• Mastering the integration of user-facing elements developed by front-end developers with server side logic
• Integration of data storage solutions
• Handling security and data protection professionally and precisely

• Development of highly scalable services realizing AI/ML functionalities
• Implementation of machine learning solutions addressing computer vision and NLP use cases
• Work with Large Language Models (LLMs) and perform prompt engineering tasks

• Design, develop, and maintain enterprise-scale distributed applications using Java/J2EE technologies
• Build and support real-time data interfaces and backend services
• Translate business requirements into scalable technical solutions and system architectures

• Dashboard development for sustainability data visualization
• Data integration from internal databases, external APIs, and third-party platforms
• Client reporting collaboration with sustainability team
• Data analysis to identify trends and insights supporting sustainability initiatives

• Architecture design of large-scale market data initiatives
• Software engineering of secure, high performance, scalable and maintainable applications
• Integration and deployment of market data initiatives
• Coordination and collaboration with internal OneMSCI stakeholders

Research, development, implementation, and testing of artificial intelligence algorithms to improve the quality and robustness of the static world model in automated vehicles...

• Development of novel data extraction tools and workflows
• Contribution to and co-lead of R&D projects for information extraction from structured, semi-structured, and unstructured data

• Design, build, and operate system-level infrastructure for autonomous test vehicles
• Take end-to-end responsibility for components, OS provisioning, deployment and runtime behavior
• Debug complex issues across Linux systems, networking and hardware components

• Writing and maintaining Python-based automated system and regression tests
• Expanding automated regression coverage and improving stability of test execution
• Evaluating daily automated test results and handling failures
• Owning and driving system-level testing activities within a Scrum team

• Owning and delivering complex C++ features across the full development lifecycle [design, implementation, review, maintenance]
• Driving code quality improvements and reducing technical debt through refactoring and pragmatic modernization