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• In-depth assessments with clients to understand business and technical needs
• Analysis of client requirements and proposal of feasible technical solutions
• Identification of client challenges and goals with recommendation of effective solutions

• Technical management of a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients
• Development of highly scalable services realizing AI/ML functionalities

• Odoo-modulok fejlesztése és testreszabása Python 3, XML, HTML használatával
• Backend-szolgáltatások fejlesztése Java/Spring és Hibernate segítségével
• Külső rendszerek összekapcsolása REST- és XML-RPC-API-k segítségével
• Eseményalapú integráció az Apache Kafka segítségével

Shaping AWS architectures and technical decisions for web applications, SaaS platforms and enterprise environments...

• Identification of highest-leverage AI opportunities in developer workflow
• Ownership of foundational architecture and standards for agent modeling and internal tool evaluation and deployment
• Building and improving onboarding, documentation, and discovery layers for engineers

• Partnering with engineering teams to automate and optimize service availability, scalability, performance, monitoring, and alerting
• Developing software to automate the toil required to keep SaaS offerings highly available, scalable, and resilient

• Building and maintaining simulation environments for mobile robotic perception and navigation
• Developing and integrating robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments

• Defining and implementing group-wide HSE standards and strengthening a behavior-based safety culture
• Managing the group HSE audit program and incident investigation methodology
• Driving process safety and ATEX management across manufacturing sites

• Aktív részvétel a tervezésben
• Specifikációk finomítása
• Fejlesztési feladatok megvalósítása
• Code review
• Automatikus tesztelés
• CI/CD folyamatok karbantartása (GitLab)
• Monitorozás és riasztások kezelése
• Alkalmazás karbantartása Kubernetes környezetben
• Junior fejlesztők mentorálása
• 1on1 meetingek tartása

• Vezetés a szoftverfejlesztés és tesztelés tervezésében, fejlesztésében, tesztelésében és telepítésében
• A teljes szoftverfejlesztési életciklus irányítása a követelménygyűjtéstől a terméktámogatásig

• Setting strategic and operational standards for external engagements with Healthcare Professionals, Healthcare Organizations, and patient communities worldwide
• Leading a global organization of approximately 40 professionals
• Fostering psychological safety and coaching chapter and operational leaders

• Leading and coordinating daily AP operational activities
• Acting as escalation point for complex AP, Finance, and Sourcing issues
• Building a high-performing team culture based on trust, collaboration, and open communication

• Shaping and executing the global project management services strategy across Roche
• Leading a talented community of over 120 project managers
• Inspiring and guiding a distributed community of 120+ project management professionals across strategic international hubs

• Planning, implementation, development and testing of HW/SW components for the company backbone and data center networks
• Preparation of technical feasibility studies, design proposals and execution of POCs for the networks

• Performance management and development of the team through regular 1-1s and portfolio reviews
• Review and sign off of customer credit limits
• Maintaining an appropriate level of credit risk
• Analyzing and approving credit applications
• Leading the collection process for delinquent accounts

• Adatfolyamok tervezése és fejlesztése robusztus, skálázható és biztonságos batch és real-time ETL/ELT folyamatok fejlesztésével
• Adatmodellezés telekommunikációs adatmodellek, adattárházak és adattavak logikai és fizikai tervezésével, struktúrájának kialakításával

• Development, testing, and continuous improvement of cloud-native CaaS and PaaS capabilities primarily using Go
• Contribution to Kubernetes operators and controllers that automate cluster and platform lifecycle processes

• Support the delivery of key risk programmes aligned with the Head of Risk
• Lead Provision 29 preparedness
• Support the refresh of Risk Management Committees (RMCs)
• Partner with risk operators and risk owners to maintain high-quality Principal Risk information

• Design, develop, test, and continuously improve cloud-native CaaS and PaaS capabilities primarily using Go
• Develop Kubernetes operators and controllers to automate cluster, platform, and application lifecycle processes

• Building and maintaining production-grade AI infrastructure using Infrastructure as Code, monitoring, logging, and deployment automation
• Optimising performance and cost efficiency of LLM workloads through autoscaling, caching, batching, and infrastructure right-sizing