Programozó állások, munkák VI. kerületben

• Design, development, and optimization of core ML models, especially in Computer Vision and Deep Learning
• Development of efficient, scalable training and inference pipelines
• Mentoring junior ML engineers, reviewing code and sharing best practices

• Development, governance, deployment, and ongoing enhancement of liquidity analytics models and supporting infrastructure across asset classes
• Driving the analytics product lifecycle, including prioritizing initiatives, influencing roadmap decisions, and ensuring successful deployment into production

• Contribution to System IP microarchitecture specification and design
• Contribution to verification, modelling and debug using SystemVerilog, C and C++
• Proposition and prototyping of new methodologies for efficiency
• Ownership and development of verification plans and environments

• 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

• Architect and lead the development of large-scale ML systems and model pipelines
• Introduce new ML systems such as traffic sign detection, building facade detection, and other computer vision-based solutions
• Define and drive the ML technical roadmap in alignment with company objectives

• Chunking and ingestion architecture with deterministic, validation-gated pipelines handling diverse enterprise document types with indexing and contextual enrichment
• Retrieval pipeline with vector search, BM25 hybrid retrieval, RRF re-ranking, embedding model selection and optimisation

• Definition and development of system-level tests for high-end embedded computing systems
• Automation of test execution and evaluation through scripting in a CI environment
• Increase of test coverage by extending functional examples into comprehensive test suites

• Development and refinement of core sports betting models for predicting match outcomes
• Building and maintenance of player statistics models analyzing player performance
• Design and implementation of risk management models to optimize exposure

• Design, implement, and operate IT infrastructure across on-premise and cloud environments (Azure)
• Ensure high availability, performance, and reliability of systems through proactive monitoring and optimization

Performing tasks related to the position....

• Operation, maintenance and scaling of database platforms handling terabytes of data
• Design of scalable, reliable database architectures for different workloads and availability requirements
• Support and optimization of databases including PostgreSQL on AWS RDS, ClickHouse, and YugabyteDB

• Design, build and deploy LLM-powered pipelines and autonomous agents
• Scope and deliver AI solutions with stakeholders
• Set best practices around MLOps and production-grade AI
• Mentor developers and contribute to internal knowledge-sharing

• Design and implement data fabric architecture across heterogeneous data sources and platforms
• Develop scalable ETL/ELT pipelines for batch and real-time data integration
• Integrate structured and unstructured data from databases, APIs, SaaS applications, data lakes, and enterprise systems

• C++ alapú beágyazott szoftverek fejlesztése
• Szenzoradatok (Vision, Radar) feldolgozása
• Járművek környezetét felismerő algoritmusok implementálása
• Fejlesztési követelmények elemzése és szoftveres megvalósítása
• Teljesítményoptimalizálás beágyazott hardverkörnyezetben

• Gépek beállítása és kezelése
• Korrekciózások elvégzése CNC gépeken mérési protokollok alapján
• CNC megmunkáló-programok és műszaki rajzok értelmezése
• Szerszámok cseréje
• Átállások és beállítások végrehajtása
• Befogókészülékek cseréje
• Alkatrészek mérése kézi mérőeszközökkel és ellenőrző sablonnal

• Support modernization, stabilization and enterprise readiness of existing Windows desktop applications
• Improve installer architecture
• Standardize deployment workflows
• Enhance CI/CD pipelines
• Ensure reliable update and installation experience
• Maintain and stabilize existing auto-update mechanism

• Fejlesztés és telepítés AI-alapú alkalmazások
• Integráció Large Language Model-ekkel üzleti megoldásokban
• Skálázható backend szolgáltatások építése Python vagy Node.js használatával
• Intuitív felhasználói felületek fejlesztése React vagy Angular segítségével

• Building and enhancing cutting-edge CAD features
• Developing world-class, testable, and maintainable code
• Collaborating closely with cross-functional teams to align technical innovations with business goals
• Evolving technical architecture and shaping engineering excellence

• Komplex üzleti folyamatok végpontok közötti automatizálása Java és Spring Boot alapokon
• Automatizációs megoldások fejlesztése UI és API szinten Selenium, LeanFT és hasonló eszközök bevonásával
• AI-alapú prototípusok, belső eszközök és automatizációk fejlesztése kontrollált vállalati környezetben

• Salesforce development and solution delivery
• Design and implementation of scalable Salesforce solutions across Sales Cloud, Service Cloud, and Health Cloud
• Building and enhancing user experiences using Lightning Web Components and Aura Components