Python developer állások II. kerületben (it programozás, fejlesztés)

• AI-alapú termékeink és backend rendszereink fejlesztése, karbantartása
• API-k (FastAPI, Django REST) tervezése és implementálása
• Adatbázis-struktúrák és architektúrák kialakítása (PostgreSQL, ORM-ek)
• Adatbázis-tervezés és optimalizálás (SQL / NoSQL)

• ETL Pipeline Development: Develop, optimize, and maintain ETL pipelines to efficiently extract, transform, and load data from various sources, ensuring high data quality.
• Monitor and troubleshoot production data pipelines, ensuring their performance and reliability.

Bridge Between Tech and Stakeholders: Act as intermediaries between engineering teams and stakeholders, ensuring clean, transformed datasets. Understand business requirements and translate them into technical specifications...

• Triaging new requirements, assessing their impact, and providing estimates for modifying data models accordingly.
• You will also be responsible for developing and enhancing business physical data models to meet evolving needs while driving alignment as necessary.

• Clarification of the functional/technical requirements as part of refinement processes, planning sessions and project meetings in the agile project setup
• Consideration of performance, usability and user behavior requirements when processing

• Elegáns megoldások tervezése, fejlesztése, tesztelése Azure szolgáltatások (Synapse), Oracle DW/BI (PL/SQL) és Python, PySpark használatával,
• Databricks használata vállalati szintű adat-, analitika- és AI-megoldásokhoz,
• A fejlesztési folyamatok optimalizálásának vezetése és új szabványok kialakítása,

Cooperate with software teams and testers to establish easy to maintain automated test pipelines. Help develop the development cycle and environment by providing automation and CI friendly design patterns. Drive improvement at every step of the process in a CI/CD environment, from the code...

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 Being a magician of integration of data storage solutions Handling security and data protection professionally and precisely...

Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power services across our platform. Build automated AI testing and evaluation frameworks. Collaborate with Applied Scientists and Software Engineers to implement and productize AI-based capabilities. Shape and...

• Design and implement ETL processes
• Develop and maintain data pipelines to ingest, transform, and load data from various sources
• Ensuring development tasks to support new release of the project/solutions
• Support production issues, or requests
• Ensure data quality and integrity throughout the ETL lifecycle

• Felhőalapú (Azure / AWS / Google Cloud) háttérrendszerek fejlesztése és üzemeltetése.
• Python alapú backend-szolgáltatások készítése (Django / FastAPI / Flask).
• Konténerizált környezetek építése és karbantartása Dockerrel, Kubernetes-szel.

• Mobilalkalmazások fejlesztése iOS környezetben (Swift).
• Keresztplatformos vagy desktopalkalmazások készítése univerzális JS/TS keretrendszerrel (Angular / React / Electron).
• Alkalmazások integrálása a robotikai rendszerekkel, hálózati és Bluetooth-kommunikáció kezelése.

Szoftverek fejlesztése, tesztelése, hibajavítása és dokumentálása....

Design, develop, and maintain components of the deployment stack and software kernels for AI compute platforms Optimize and implement core ML operators (e.g., GEMMs, convolutions, BLAS routines, SIMD kernels) Translate computational graphs from ML frameworks onto the underlying hardware Contribute...

Create robust, scalable, and secure microservices that power our SaaS platform for governance Leverage AWS (serverless or migrations) with TypeScript Own services end-to-end (code, deployment, monitoring) Drive architecture discussions Regularly demo to the department Shape AI strategy by leading...

Design & implement AI/ML solutions Build end-to-end ML/AI pipelines: data ingestion, preprocessing, feature engineering, model training, evaluation, deployment and monitoring Develop AI-powered applications and services using Python and modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)...

Writing reusable, testable, and efficient code, mainly in Python Delivering great user experience by the development of great user interfaces Handling security and data protection professionally and precisely Collaboratively working to provide technical solutions and implement new software features...

Cooperate with software teams to establish and implement quality processes at every stage of the development cycle. Develop automated test cases for firmware and Linux-based systems (bootloaders, kernel, device drivers and applications). Drive improvement at every step of the process in a CI/CD...

Architect, build and maintain backend services and APIs using Python and web frameworks such as Flask or Django (or comparable) Design and implement RESTful APIs / microservices, ensuring clean, maintainable, and efficient code, adhering to best practices (coding standards, documentation, testing)...

Writing reusable, testable, and efficient code, mainly in Python Delivering great user experience by the development of great user interfaces Handling security and data protection professionally and precisely Working collaboratively to provide technical solutions and implement new software features...