Programozó állások, munkák it programozás, fejlesztés területen

• Algorithm design: You design innovative compression algorithms and implement them as efficient software.
• Technology benchmarking: You evaluate and compare our approaches with competing methods.

• Definition and leadership of the commercial analytics roadmap
• Design and development of commercial analytics, Power BI dashboards and self-service solutions
• Establishment of analytical standards and promotion of best practices

• Providing technical and managerial leadership for around seven software architects.
• Aligning architects across product lines and early project phases, and coordinating closely with project management and product management.

• Build and improve the WebRTC media pipeline across web, desktop and mobile clients, including audio, video, screen sharing and data channels.
• Develop and scale our Selective Forwarding Unit (SFU) and signaling services to support large meetings, webinars and breakout rooms.

• Partnership with GBS Operations leadership and Global Process Owners to prioritize digital initiatives
• Oversight of digitalization efforts for SSC workstreams (R2R, P2P, Customer Care, O2C)
• Partnership with Global Process Owners to drive development pipeline for workstreams

• Design and build AI agents and workflows that solve concrete business problems
• Take technical ownership of applied AI solutions - from architecture decisions to engineering standards and code quality
• Build enterprise-grade solutions on modern AI platforms, mainly Azure

• Leading and mentoring a team of ML engineers
• Owning model quality end-to-end from experimentation to production-ready artifact
• Conducting regular 1-on-1s for career development and feedback
• Removing blockers and ensuring team well-being

• Fejlesztés agentic AI alkalmazásokból finomított üzleti és műszaki követelmények alapján
• Megvalósítás agent munkafolyamatokból, promptokból, modell integrációkból, memóriából, RAG-ból, eszközhívásból, biztonsági kontrollokból és emberi beavatkozásból
• Egység- és integrációs tesztek írása

• Experience in different Data Science topics
• Independent delivery of Data Science projects with product-oriented mindset
• Engagement with clients to understand business objectives and translate into technical requirements
• Leading pre-sales technical discussions

• The data platform end to end: ingestion, storage, and the query paths that keep millions of records fast on screen. You design it, you build it, you run it in production.
• The platform layer, directly with the CTO: infrastructure, deployments, and the path to production for the whole team.

• Design and build AI-powered automation for software quality assurance, reducing manual testing effort over time
• Develop test and evaluation infrastructure for workflow, end-to-end, REST/gRPC API and contract testing, with CI/CD integration

Work directly with clients, product owners, architects, and development teams to understand business and technical requirements and translate them into infrastructure and cloud architecture requirements...

Work upstream in the requirements process (PRD), establishing what each option costs to build and to run, what it commits us to later, and which one holds up once the commercial, medical and regulatory constraints are applied....

In this role, you design, co-create and implement enterprise-scale agentic AI systems together with business and IT teams, from solution architecture to production deployment....

• Further development of ESO's Requirements Management Tool.
• Support the Configuration & Asset Management for the ELT.
• Automation of hardware configuration and documentation management by using AI/ML.
• Support the Verification Management for the ELT.

• Lead the architectural vision and strategic direction for AI and machine learning systems across a distributed team in India and Europe.
• Architect unified, scalable and secure AI systems that supports international data sovereignty and regional privacy regulations.

• Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e. g., SEM, TEM, EBSD).
• Learning representations that are robust to scale changes, modality shifts, and domain differences across instruments and laboratories.

• Design agent roles, collaboration patterns, orchestration, models, memory, RAG, tool integration, identity, security, and human control
• Lead end-to-end delivery from discovery and proof of value through production rollout and scaling across business domains

• Create high-level distributed system architecture aligning with business requirements and technical constraints
• Provide technical guidance and leadership to development teams, ensuring that architectural standards and best practices are followed

• 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