Lead engineer állások, munkák it programozás, fejlesztés területen

• Lead implementation of AI, GenAI, ML, automation, and AI-powered applications.
• Translate solution designs and requirements into development plans and working software.
• Drive engineering delivery aligned with the target architecture.

• 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

• Support for development, quality assurance and product management
• Working closely with team members to ensure successful completion of projects and overall support with all roll-out services
• Enabling continuous improvement by supporting when needed
• Responsibility for vacation planning of direct reports

• Designing and developing Java-based backend microservices
• Building scalable distributed systems
• REST and event-driven communication
• Network provisioning and orchestration workflows
• PostgreSQL modeling and optimization
• CI/CD pipelines and containerized environments
• Kubernetes / Docker infrastructure

Customer-Focused Outcomes: As a Senior SAP AI Engineer (f/m/d), you will be a key driver of customer value delivery, translating SAP AI architectural blueprints into fully functional, scalable, and production-ready solutions. Specifically, you will:...

• Take ownership of data engineering initiatives within projects and act as a technical lead towards customers
• Design, build and evolve scalable data platforms and architectures aligned with business goals

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

• Leading AI-first engineering efforts with AI agents for specification, code and test generation, verification, and review
• Remaining hands-on in codebase with architecture patterns, critical code writing and review, prototyping, and problem unblocking

• Professional guidance, mentoring, and knowledge sharing for manual testers within the same domain
• Support for the Manual Testing Team Lead in resource allocation and coordination activities
• Participation in test scope estimation and definition

• Leading AI-first engineering efforts with AI agents for specification, code and test generation, verification, and review
• Remaining hands-on in the codebase including architecture patterns, critical code writing and review, prototyping, and unblocking technical problems

• Support, invest in and develop an incredible team of talented and motivated engineers with clear expectations via practices such as 1:1s, goal setting, and constant feedback.
• Recruit, manage and retain the best talent for the delivery teams.

• You design and implement a cloud-native, multi-tenant and secure asset monitoring platform for distributed fiber optic sensing solutions
• You build robust, secure and observable platform components, data models, interfaces and APIs

Take technical ownership of the overall software architecture for a novel X-Ray based 3D inspection and metrology system for semiconductor wafers....

• Ownership of end-to-end lifecycle of domain data products including design, development, operationalization, evolution, and retirement
• Leadership of technical delivery across data ingestion, pipelines, transformations, APIs, and data engineering processes within the domain

• 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

• Standardize Incident Management: Build and champion intuitive, end-to-end processes for incident detection, response, communication, and postmortems across the company.
• Enhance System Visibility: Develop clear, real-time metrics, dashboards, and signals to track system health and incident trends.

• Architect cloud-native AI applications integrating LLMs vector search and real-time data
• Design end-to-end web solutions from frontend to backend
• Implement RAG pipelines model serving and AI agents in production
• Lead cross-functional teams (Full-stack AI Data)

• Architect cloud-native AI applications integrating LLMs, vector search, and real-time data
• Design end-to-end web solutions from frontend to backend
• Implement RAG pipelines, model serving, and AI agents in production
• Lead cross-functional teams (Full-stack, AI, Data)

• Lead the technical lifecycle of ServiceNow and related governance platforms (IRM, Risk, Change, Incident, CMDB, Asset).
• Ensure configurations are secure, scalable, auditable, and aligned with regulatory standards.

Own significant ACPC platform programs and initiatives end-to-end, from planning through delivery, including risk management, dependency tracking, and stakeholder alignment....