Python állások, munkák ai és automatizáció kategóriában

• Kapcsolattartás az ügyfelekkel, igények felmérése és tanácsadás
• Azure Function App fejlesztés
• Dokumentálás
• Programozás Pythonban
• Azure infrastruktúra tervezés és karbantartás
• Rendszeres ellenőrzés, frissítés és teljesítmény optimalizás Azure környezetben
• Fejlesztések tervezésében aktív részvétel

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...

Analyzing digital journeys, engagement, conversion funnels, and product performance; translating findings into actionable recommendations for Product, UX, and business partners...

• Collaborating with architects, senior technologists, and business stakeholders to identify automation opportunities
• Designing, building, and maintaining internal tools, APIs, applications, dashboards, and AI-powered workflows

• 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...

• Kereskedelmi és ipari szektorban dolgozó ügyfelek digitalizációs problémáit megoldó zöldmezős webes applikációk/mobil app-ok backend-jének fejlesztése
• Részvétel a szoftverek teljes architektúrális tervezésében, kialakításában senior jelölt esetén

• Working on the full loop from data to a served model to using it for R&D: sourcing and curating training data, quality and privacy gates, fine-tuning, alignment, deployment
• Making each stage better, faster, and more measurable
• Owning what goes into the corpus and why

• Building and optimizing inference pipelines for large-scale model serving (LLMs and beyond)
• Working with frameworks like PyTorch, TensorRT, and vLLM to deploy models efficiently

• Developing new and enhancing existing Risk Management applications
• Designing and implementing solutions for large-scale data processing and complex calculations
• Working with large datasets and database-driven applications

• 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.

• Kutatási, fejlesztési és termékfejlesztési feladatok önálló végrehajtása.
• Gépi tanulási modellek tervezése, megvalósítása és optimalizálása, mélytanulási módszerek alkalmazásával.
• Alapos irodalomkutatás, műszaki specifikációk összeállítása és részletes kutatási jelentések készítése.

• Building and maintaining simulation environments for mobile robotic perception and navigation
• Developing and integrating robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments

• Megtervezed és a csapattal közösen felépíted az agentic AI-platformot, amelyre a fejlesztési munkafolyamatainkat alapozzuk.
• Coding agenteket és AI-toolchaineket integrálsz a meglévő C#/.NET és Vue.js ökoszisztémánkba, kialakítva az önálló és többagentű működés feltételeit.

• Collaborating with a global network of technologists, designers, and strategists to help clients transform their businesses through innovative digital solutions
• Developing cutting-edge products
• Mentoring client teams

• Contributing to projects for global clients in a market-leading, innovative environment
• Gaining hands-on experience with technologies used in real industrial automation solutions
• PLC programming using modern, technology-dependent programming languages

Implementing and maintaining large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals...

• 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

• Owning architecture across the value stream for every tracking and auto-officiating product in T&AO
• Setting the initial architecture when a new tracking problem enters the business
• Running the Software Domain Owner model so shared libraries like calibration have named codeowners

• 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