Php home csv javascript jquery állások XXIII. kerületben (ai és automatizáció)

• Building and refining critical controls to prevent Wise customers from scams
• Driving backend and frontend for scam prevention and detection systems
• Delivering tangible impact by securing customers' money and accelerating product growth

• Producing high quality code for the full technological stack from database to UI
• Assisting with troubleshooting basic issues and improving application performance
• Documenting and demonstrating solutions with a focus on security and performance

Development and maintenance of mission-critical video processing, transcription, accessibility pipelines, and interactive analytics services using TypeScript, React, and Ruby on Rails...

• Design process of a SoC by integrating the latest Arm IP products
• Development of RTL code using System Verilog
• Running EDA tools to check the design and analyze results
• Using AI-assisted engineering tools to support development and debug
• Identifying and fixing bugs

• 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.

• Design, build and maintain enterprise Azure cloud infrastructure and platform services.
• Develop and maintain Infrastructure as Code solutions using Terraform.
• Design, implement and maintain Azure Landing Zones, governance policies and platform standards.

• Design and own the Azure Native Data & AI Platform architecture
• Lead Azure Databricks platform implementation and evolution
• Define enterprise data, analytics, ML and AI platform standards and best practices
• Design Lakehouse and Medallion architectures

• Build and maintain Azure Databricks solutions
• Develop scalable ETL/ELT pipelines
• Implement and optimize Lakehouse solutions
• Develop Spark applications
• Develop reusable data and AI platform components
• Build and maintain MLOps pipelines using Azure Databricks
• Automate platform, data and ML deployments

• Meglévő rendszer továbbfejlesztése
• Új funkciók készítése
• Hibák javítása
• Régebbi részek refaktorálása
• Adatbázis kezelése
• Backend üzleti logika fejlesztése
• Webes felület fejlesztése

• Delivery of agentic solutions across multiple client deployments
• Building and configuring full-stack, AI-enabled solutions
• Embedding with Client Service Teams and client teams to understand needs
• Translating client needs into technical and functional requirements

• Ownership and evolution of Cypress + TypeScript E2E automation framework
• Integration of automated test suites into CI/CD pipelines
• Research and implementation of load and performance testing strategies
• Application of AI-assisted tools for test generation and failure triage

• AI-audit workshopok és üzleti folyamatfelmérések vezetése cégvezetőkkel együttműködve
• Üzleti folyamatok elemzése, automatizálási és fejlesztési lehetőségek feltárása
• Személyre szabott üzleti ajánlatok kidolgozása a vállalat módszertanának és AI-eszközeinek segítségével

• 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

• Big Data rendszer üzemeltetés átvétele
• Dokumentáció frissítése
• Alkalmazás és rendszer telepítési automatizáció Ansible segítségével
• Jogosultság kiosztás
• Nyomozás
• Telepítés
• Üzemeltetés
• Migrációs projekt
• Big data rendszer költöztetés
• Azure cloud kialakítása
• Gépi tanulás

• Felhő használati szabályok követése
• Security hardeningek alkalmazása
• Felhő szolgáltatással kapcsolatos biztonsági követelmények érvényesítése
• Microsoft Azure/M365 biztonsági üzemeltetés és szerepkör kezelés
• App protection
• CA szabályok létrehozása a biztonsági követelményeknek megfelelően

• Design, develop, test, document, and deploy high quality Salesforce solutions leveraging Einstein 1 Platform, Lightning Web Components, and modern Apex patterns
• Analyze client specific requirements and define data model to support business, reporting and technical requirements

• Implementation of TypeScript features for AML services and customer facing Admin Panel
• Contribution to design discussions with informed questions and explanation of design decisions
• Independent scoping of work and early issue raising with requirements

• Design and build artificial intelligence and machine learning solutions for enterprise clients
• Operationalize AI and machine learning solutions combining custom models with cloud and third-party AI services
• Assess client needs and data for AI/ML solutions

• Design and build well-architected TypeScript features end to end for AML services and customer facing Admin Panel
• Lead team-level design reviews and write design docs or ADRs for significant changes
• Challenge requirements that don’t add up and raise delivery risks early with proposed mitigation

• Design of high quality Salesforce solutions leveraging Einstein 1 Platform, Lightning Web Components, and modern Apex patterns
• Development of high quality Salesforce solutions leveraging Einstein 1 Platform, Lightning Web Components, and modern Apex patterns