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

Design, develop, test, document, and deploy high quality Salesforce solutions leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns...

Design, develop, test, document, and deploy high quality Salesforce solutions leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns...

• Magas szintű technikai és üzleti tanácsadás ügyfelek számára az Atlassian termékekkel és saját fejlesztésű megoldásokkal kapcsolatban
• Ügyfelek üzleti és IT folyamatainak felmérése
• Komplex megoldások tervezése, bevezetése és minőségbiztosítása

Web alapú vállalatirányítási rendszer fejlesztése...

AI-driven vulnerability management. When frontier models can generate thousands of findings in a weekend, the bottleneck shifts from discovery to triage, verification, and remediation. We're building the pipeline that makes this sustainable....

AI-driven vulnerability management. When frontier models can generate thousands of findings in a weekend, the bottleneck shifts from discovery to triage, verification, and remediation. We're building the pipeline that makes this sustainable....

• Search, collect, consolidate, and validate financial and non-financial data across departments and systems
• Design, build, maintain, and automate dashboards and underlying data pipelines to provide timely, accurate insights to stakeholders

• Drive product features end-to-end with sleek, responsive UI improvements and seamless backend integration
• Leverage agentic coding assistants and AI workflows to accelerate delivery and automate engineering tasks

• Design of Azure cloud infrastructure to support Databricks and data platform workloads
• Implementation of Azure cloud infrastructure to support Databricks and data platform workloads
• Management of Azure cloud infrastructure to support Databricks and data platform workloads

Performing tasks related to the position....

• Design and evolve end-to-end architecture across data ingestion, processing, storage, and delivery
• Define scalable data pipelines and batch or near real-time workflows
• Establish efficient data models, storage strategies, and access patterns

• Vectorization of 2D data
• Manual 2D/3D GIS data manipulation
• QA/QC of point cloud classification
• Database handling
• Editing and preparing of 2D vector and 3D point cloud data for further processing

• 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

• Design, build, and deploy production-grade agentic AI and automation solutions that collect, validate, and quality-assure data at scale
• Engineer multi-agent orchestrations, data pipelines, MCP integrations, and API connections that power autonomous, end-to-end data workflows

• Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing
• Develop and maintain the platform’s core capabilities such as orchestration, data quality validation, and schema management tools

• Lead the architecture, design, and implementation of enterprise-scale web applications using modern frontend technologies
• Serve as the technical lead for UI development while remaining actively involved in coding, design reviews, and implementation

• Owning a revenue target across data, advanced analytics, and predictive AI
• Leading executive-level client conversations, joining deals early to diagnose the business problem, structure a solution, and build the ROI case that gets the client to sign

• Leading a team of engineers to increase delivery capacity for project rollout
• Owning technical execution across frontend and full stack workstreams aligned to a scalable platform model
• Providing hands-on technical leadership in JavaScript, TypeScript and modern frontend frameworks

• Working on the next generation vehicle's self-driving software
• Development of the internal data distribution and execution framework
• Integration of third-party frameworks
• Sensor data recording related tasks
• Development of human-machine interfaces and data visualization tools

• Owning the quality architecture for the Scoring engine
• Prioritizing test strategies based on real-world risk
• Standardizing reusable patterns for the repository
• Building reliable automated coverage across UI, API, and deep service layers