Python állások, munkák XXIII. kerületben

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 Collaborating with cross-functional teams to validate...

• Design, implement, and strengthen security protection for IT cloud platforms, ensuring security at both infrastructure and application layers
• Participate in regular red-team/blue-team exercises, identify system vulnerabilities and security weaknesses, and propose remediation plans

Ownership of data engineering features, architecture, and code quality Design, implementation, and maintenance of Databricks-based data pipelines and workflows Building and optimization of ETL/ELT processes using Apache Spark on Databricks Design and management of data lakes and Lakehouse...

• Support of network infrastructure
• Operation and maintenance of a Cisco based infrastructure (switching, routing, firewall, wireless and identity management)
• Troubleshooting
• Support of IT processes (Inicdent, service requests and problem management).

Kutatás és Fejlesztési projektek végigkövetése a tervezéstől az átadásig Beágyazott vezérlők programozása C nyelven Prototípus berendezések beüzemelése Prototípus berendezések tesztelése Gépész-, villamos- és mechatronikai mérnökökkel való együttműködés Dokumentáció írás angolul és magyarul...

Daily data production and quality assurance for client-facing data products Vendor data integration and management Methodology implementations, historical restatements, and platform migrations Data quality investigation including pricing errors, model performance, and analytical discrepancies...

• Keep our data pipelines healthy — monitor Databricks jobs daily and check infra health dashboards.
• Run predefined diagnostics and flag unusual behaviour with clear documentation.
• Do first‑level troubleshooting — reading logs, checking error codes, running SQL validations.

Support of daily data production workflows across multiple asset classes Performance of quality assurance checks on incoming vendor data and internally generated analytics Investigation of data quality issues such as pricing discrepancies, missing data, and analytical outliers Maintenance support...

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, patterns, and insights Quality assurance of data in dashboards and...

Support Daily Data Production Workflows Across Multiple Asset Classes Including Fixed Income Curves, Futures, Derivatives, And Equity Analytics Perform Quality Assurance Checks On Incoming Vendor Data And Internally Generated Analytics Assist With Investigating Data Quality Issues Such As Pricing...

Development of novel data extraction tools and workflows Co-lead R&D projects for information extraction from structured, semi-structured, and unstructured data Design, prototype, and evaluate scalable models including LLMs for asset detection, attribute inference, and classification Implementation...

• Határidős villamosenergia-kereskedelmi ügyletek megkötésének támogatása a hazai és külföldi piacokon;
• Közreműködés új, sikeres kereskedelmi stratégiák kidolgozásában, fejlesztésében;
• A megkötött piaci ügyletekből összeálló pozíciók portfóliójának eredményes menedzselésének támogatása;

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 Develop microservices-based applications...

Co-design and implementation of QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques Application of AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets Building reusable QA tools in...

• PC alapú információs kioszkok beüzemelése, konfigurálása;
• hibabejelentések kezelése, szoftveres hibakeresés és frissítés;
• időszakos, tervszerű helyszíni karbantartások elvégzése;
• hibabejelentések követése, elvégzett feladatok adminisztrálása;

• Keep our data pipelines healthy — monitor Databricks jobs daily and check infra health dashboards.
• Run predefined diagnostics and flag unusual behaviour with clear documentation.
• Do first‑level troubleshooting — reading logs, checking error codes, running SQL validations.

Use of formal verification algorithms to formally prove correctness of complicated logic problems Identification of key behaviors for verification to write clear testplans for complex designs Implementation of testplans using innovative formal techniques Driving tools to realize their best...

• Learn data engineering principles
• Learn to design and implement ETL processes and pipelines
• Work with SQL, Python and different programming languages and notebooks
• Learn Power BI report building, Data Bricks and various ETL tools

• 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

• Learn Generative AI principles and models
• Learn Large Language Models, Natural language processing
• Work with Different generative AI Tools and uses
• Learn the LLMs, NLP fundamentals, Transformers, and attention mechanism
• Build Custom dataset for LLM, Build your own custom chatbot/AI bot/custom GPT