Finden Sie Jobs für :3
17/07/2026
| Schweiz, Tessin, Manno - Work & Work SA | |
Anstellungsart:Try and Hire | |
| Per azienda svizzera specializzata nella lavorazione di componenti meccanici di alta precisione, con sede nel Luganese, selezioniamo ADDETTO/A CONTROLLO QUALITA' Mansioni: - Controllo visivo e dimensionale dei componenti prodotti. - Verifica della conformità dei pezzi sulla base del disegno tecnico. - Utilizzo di strumenti di misura quali calibri, micrometri, comparatori, microscopi di misura e binoculari. - Identificazione e gestione delle non conformità. - Selezione e pesatura dei prodotti. - Compilazione della documentazione relativa ai controlli qualità. - Collaborazione con i reparti produttivi per garantire gli standard qualitativi richiesti. Requisiti: - Esperienza di almeno 3 anni nel controllo qualità in ambito meccanico oppure diploma tecnico. - Ottima capacità di lettura del disegno tecnico e delle tolleranze. - Buona conoscenza degli strumenti di misura tradizionali. - Gradita la conoscenza della programmazione VICI. - Buona padronanza del pacchetto Microsoft Office. - Precisione, autonomia, senso di responsabilità e attitudine al problem solving. - Disponibilità immediata per impiego temporaneo Orario di lavoro: a giornata |
16/07/2026
| Schweiz, Genf, Geneva - Michael Bailey Associates | |
Anstellungsart:Befristeter Vertrag | |
| We are looking for an Integration Architect (100%) for one of our clients in Geneva - Start date: 30 July 2026 - End date: 4 months after the start date - Location: onsite at Geneva or remote. Role Overview We are seeking an Integration Architect to define the integration patterns and interface design for a platform connecting AI systems, centralized orchestration services, and external partners. The role is responsible for defining how systems interact at scale, ensuring robust, secure, and performant system integration across multiple interfaces and protocols. Key Responsibilities • Define the end-to-end integration architecture, covering interactions between AI platforms, orchestration, ensuring interoperability across multiple integration paradigms • Establish the API and MCP integration strategy, including: - Definition of the AI-facing MCP exposure layer - Standardized approach for API connectivity (proprietary and NDC / Offer & Order) - API lifecycle principles (versioning, governance, reuse) • Define orchestration and routing patterns to support: - Aggregation of responses across MCP, APIs and industry standards - Traffic control, optimization, and support for both synchronous and asynchronous patterns • Specify integration interaction with the caching layer, including: - Retry, fallback, and resilience behavior - Alignment with required data access and performance patterns • Define a multi-standard integration approach that: - Enables connectivity with clients own MCP servers, proprietary APIs and industry-standard APIs - Provides a unified abstraction layer for AI interaction via MCP - Avoids point-to-point integrations through reusable patterns • Establish security, control, and resilience principles, including: - Authentication and authorization models • Define the technology and governance framework for integration, including: - Evaluation criteria for API gateways, middleware, and messaging solutions - Architectural guardrails for implementation teams - Validation principles for vendor and partner integration designs • Ensure the overall design delivers a single, coherent integration layer, enabling AI-native interactions, orchestrating heterogeneous systems, and supporting future scalability Deliverables - Integration architecture documentation - Interface / API specifications and mappings - Orchestration and interaction patterns - Integration decision logs Experience & Skills - 5+ years of experience in integration architecture or solution architecture - Strong experience with API design and integration patterns - Experience with distributed systems and high-volume transaction environments - Familiarity with REST APIs, event-driven architectures, and system orchestration - Exposure to cloud-based architectures and MCP (e.g., AWS or similar) - Strong analytical and stakeholder communication skills |
16/07/2026
| Schweiz, Genf, Geneva - Michael Bailey Associates | |
Anstellungsart:Befristeter Vertrag | |
| One of our clients is seeking a Data Architect / Data Modeler Contract basis - due to start ASAP and will be 4 months long. Geneva / Hybrid The role is focused on the setup phase of the initiative, defining data models, structures, flows, and caching principles required for orchestration, rather than implementing them. It ensures that data is semantically consistent, normalised, and AI-ready, and provides a clear architectural specification that guides subsequent build and execution phases. Key Responsibilities - Define a canonical data model covering i.e. offers, orders, services, AI interactions, and identity, ensuring alignment across APIs, the client's standards. - Establish data normalization and mapping rules to harmonize specific schemas and industry standards into a single consistent representation - Specify AI/MCP data structures and contracts, ensuring AI-generated requests can be translated into structured API calls and responses remain deterministic and consumable - Define the caching architecture, including: o Data to be stored (context, responses, aggregated offers, metadata) o Lifecycle rules (TTL, refresh, reuse, consistency) o Trade-offs between performance and data accuracy o Alignment with canonical models and orchestration needs - Design end-to-end data flows from AI interaction through orchestration to systems, including mappings, transformations, and aggregation principles - Define data governance standards, including metadata, lineage (logical level), documentation, and compliance with enterprise data policies - Ensure the overall design provides a single canonical representation of the client's content, scalable to future capabilities such as booking, payment, and additional services Experience & Skills - 5+ years of experience in data modelling (logical/conceptual) - Strong understanding of API data structures (REST, JSON/XML payloads) and AI/MCP interaction models - Familiarity with industry data standards (aviation, travel, or similar is a plus) - Experience with modelling tools (e.g., ER tools, UML, data modelling platforms) - Strong documentation and communication skills |