Ai és automatizáció állások, munkák

• Building skills in product management through a tailored learning program
• Executing on real problems in product management
• Working on own projects/products during the 12 week tailored programme
• Spending time on dedicated sessions to learn about product management
• Working on domain team projects

• Alignment of CDSO study teams with program- and study-level strategies
• Leadership of CDSO Study Team for assigned studies
• Representation of DS as a member of the cross-functional study team
• Acting as single point of contact and accountable operational lead from DSS for assigned studies

• Design, build, and operate the firm’s AI platform including shared services, APIs, SDKs, and tooling
• Drive architecture across scalability, reliability, security, developer experience, and cost

• Application development leadership
• Application implementation oversight
• Application monitoring and issue resolution
• Application maintenance management
• Application support provision
• Data validation against official sources
• Request management for data modifications

Munkakörhöz tartozó feladatok ellátása....

Munkakörhöz tartozó feladatok ellátása....

• Lead the end-to-end management of Major Incidents (P1/P2), ensuring timely resolution and effective stakeholder communication.
• Act as command centre lead during critical outages, coordinating across technical and business teams.

Assess and document downstream impact of Skills and Job Architecture data quality issues across payroll processing, management reporting, third-party integrations, and AI/machine learning model inputs...

• The CloudOps Engineer is responsible for availability for cloud platforms
• Respond, troubleshoot and resolve production alarms
• Communicate and troubleshoot operational issues supporting a complex environment
• Respond to cloud service outages and manage incident tickets

• CI/CD pipeline-ok kialakítása, fejlesztése és karbantartása
• Deployment és release folyamatok automatizálása
• Cloud infrastruktúrák üzemeltetése és optimalizálása
• Konténerizált környezetek kezelése (Docker, Kubernetes/OpenShift)
• Monitoring, logging és alerting rendszerek kialakítása és üzemeltetése

• Assessment and clarification of customer functional requirements related to the system/software jointly with business consultants
• Development and modification of applications or part of the application
• Preparation of related documentation

• Build-from-zero applications powered by the HawkAI Engine
• Bridge machine learning models and real-time data pipelines into APIs and user interfaces
• Integrate AI-assisted development tools into software architecture and data integrity workflows

• Turning data science and AI experiments into production-ready, scalable solutions
• Developing and deploying Generative AI solutions including LLMs and Diffusion Models
• Designing and implementing data models and flows including ETL, embedding models and vector databases

• Drive commercial delivery of next-generation tracking products through field trials and full commercial launch
• Shape agentic development culture by organizing development around AI-delegation and AI-augmentation models
• Set the bar and hire talent with proven fluency in agentic development at scale

• Leading a global engineering organization across several teams and products within a business domain
• Setting the technical and organizational strategy
• Accountability for delivery, reliability, security, and overall performance of the organization

• Design, development, and deployment of scalable, resilient, and high-performance components for the Wise Assistant
• Ownership of intent detection systems, contact processing pipelines, and routing logic for automation solutions

• Ügyfélfolyamatok feltérképezése (folyamatelemzés, interjúk, workshopok)
• ClickUp/n8n alapú rendszerek tervezése és konfigurálása: sales pipeline, CRM, projektmenedzsment, HR folyamatok, pénzügyi/admin workflow-k, custom field-ek, workflow-k, automatizmusok, dashboardok kialakítása

• Leading a data engineering team comprising 5-6 consultants
• Overseeing project delivery
• Managing and mentoring the team
• Ensuring successful execution of data engineering projects
• Ensuring successful execution of ML/MLOps projects
• Ensuring successful execution of cloud migration projects

• Teljes üzleti és kereskedelmi (P&L) felelősség a Traffic Enforcement termékpalettáért
• Nemzetközi értékesítési és go-to-market stratégia kialakítása és végrehajtása
• Kereskedelmi és marketing roadmap megalkotása és következetes tartása
• Felsővezetői és board-szintű prezentációk készítése és előadása

• The work spans three distinct problems, and you keep them clear: testing agentic product behaviour, using agents to test conventional software, and building the agentic quality infrastructure that supports both. 
• Quality engineering