Python programozó állás, munka

• A KEEP energiatárolóink "agyának", a saját fejlesztésű EMS (Energy Management System) szoftverünknek a kódolása Home Assistant alapokon.
• Informatikai eszközök konfigurálása, telepítése (pl. wifi-router, switch, IoT eszközök, stb.)

• ORACLE adatbázisok kialakítása, karbantartása;
• adatbetöltő-, adatelőkészítő-, és adatfeldolgozó algoritmusok tervezése és megvalósítása, együttműködve a terület szakstatisztikusával;
• fejlesztői tesztek tervezése, elvégzése;
• felhasználói (folyamattesztben) való közreműködés;

• Power BI riportok és dashboardok fejlesztése, karbantartása és továbbfejlesztése
• Power Automate alapú workflow és automatizációs megoldások kialakítása
• Adatmodellek, ETL folyamatok és adattranszformációk tervezése és fejlesztése
• SQL alapú lekérdezések készítése és adatforrások integrációja

• Fejlesztési folyamatok támogatása DevOps eszközökkel
• Központi, integrált CI/CD megoldás támogatása és fejlesztése, valamint új projektek bevonása
• Együttműködés az infrastruktúra üzemeltetéssel
• Projektalapú együttműködés fejlesztőkkel, üzleti elemzőkkel és ügyfelekkel

• Verification process of IoT, Mobile and Infrastructure subsystems integrating the latest Arm IPs
• Design and verification activities to fulfill project requirements
• Collaboration with architecture, design, verification, performance analysis, implementation and various IP teams

• a HungaroMet Zrt. által üzemeltetett időjárási radarok üzemeltetéséhez szükséges programok kezelése, a kapcsolódó szoftveres operatív adatkezelési, adattovábbítási feladatok ellátása;
• szűrőalgoritmusok felülvizsgálata
• second trip echo szűrésének implementálása

• Design and build AI-powered automation for software quality assurance, reducing manual testing effort over time
• Develop test and evaluation infrastructure for workflow, end-to-end, REST/gRPC API and contract testing, with CI/CD integration

• Development of real time software for electronics systems including algorithm/pre-processing concepts and solutions according to agreed timeline, respecting required quality levels
• Modelling and simulating algorithm behavior
• Supporting component level software requirements analysis

• Design, develop, and maintain applications.
• Optimize and enhance existing applications and infrastructure.
• Ability/interest to work with machine learning.
• Collaborate and communicate with various teams within the company.
• Ensure all applications reflect our internal policies and standards.

• Design and develop embedded software for mechatronic control systems used in adaptive lithography optics systems
• Solve technically challenging problems as a senior expert and support and qualify junior developers within projects

• Discussing and clarifying requirements with our internal domain experts
• Breaking requirements down into manageable work packages, estimating effort, and identifying technical dependencies
• Designing and developing algorithms that span and are optimized across various layers of our software stack

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Execute scientific experiments on internal as well as public data.

Drive Architectural Strategy & Scalability: Partner across Data Science, Platform Engineering, and Product teams to design the technical architecture, data pipelines, and orchestration systems required for high-traffic AI services. Ensure the ecosystem supports highly available, low-latency...

• Technical onboarding of TelCo and OSS applications onto Kubernetes-based platforms
• Contribution to Site Reliability Engineering through automation of operational tasks and creation of enhancements

As a Senior Machine Learning Engineer at PDR.cloud, you will own the complete ML lifecycle: exploratory analysis, data modeling, feature engineering, model development, and production pipelines...

• Integration of security best practices into the DevOps lifecycle
• Implementation and continuous improvement of security services
• Improvement of CI/CD pipelines and cloud infrastructure with focus on automation and scalability

• Translate R&D business and user requirements into effective system, process, and automation solutions
• Design, implement, test, and continuously improve automated workflows, AI-augmented data flows and AI Agents
• Ensure stable data flows, high data quality, and reliable system operations

• Development of advanced technical solutions for infrastructure and services expansion and operation
• Preparation of procedures for the complete life cycle of cloud-native based production environment of packet Core including 5G-SA

Design, train, and evaluate machine learning models for manufacturing use cases such as quality prediction, anomaly detection, predictive maintenance, and process optimisation, covering the full ML lifecycle from problem definition to performance tuning....