Trainer állások, munkák it programozás, fejlesztés területen

• PEGA alacsony kódszintű alkalmazásfejlesztés eset típusok, munkafolyamatok és üzleti folyamatok modellezése és megvalósítása a PEGA Platformon
• Újrafelhasználható komponensek készítése több alkalmazásban is felhasználható funkcionális modulok fejlesztése

• 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

• Lead, mentor, and support a team of full stack developers, building a collaborative and inclusive team environment
• Provide technical direction, guidance, and best practice standards across development, design, and user experience

• Design, build, and operate scalable data infrastructure
• Build and optimize scalable data warehousing and lakehouse solutions
• Ensure data integrity end-to-end
• Create and own robust ELT pipelines connecting multiple internal and external data sources

• Develop, design and maintain backend services for mobile applications using Java and Spring Boot.
• Implement and evolve RESTful APIs ensuring scalability, reliability, and security.

Contribute to the requirement definition for the assigned physical security product area, develop functional specifications, and create project plans and software release schedules to support the certification process...

• Lead the evolution of the design system with scalable components, patterns, and guidelines
• Partner with Product Managers, Engineers, Content Designers, and Brand Designers to deliver intuitive, user-centred experiences
• Influence product strategy through research, insights, and design thinking

• Lead and manage complex economic crime, fraud, conflict of interest (COFI), and human security investigations, with hands‑on involvement when required.
• Analyse root causes, enabling circumstances, and systemic risks behind violations and misconduct, and draw clear, business‑focused conclusions.

• Design and code clean, maintainable and high-performance custom-built solutions based on Java technologies and related frameworks
• Follow defined methodology and standards to create software of high quality
• Conduct code reviews and provide constructive feedback to team members

• 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.

• Design, build and deploy LLM-powered pipelines and autonomous agents
• Scope and deliver AI solutions with stakeholders
• Work with frameworks like LangChain
• Set best practices around MLOps and production-grade AI
• Mentor developers and contribute to internal knowledge-sharing

• Discovery & Shaping: Lead stakeholder workshops, translate business needs into MVP scopes, and map out scalable implementation roadmaps.
• End-to-End Architecture: Design and document (C4 diagrams, API contracts) robust cloud architectures covering application, data, and LLM layers.

• Lead and develop the E&P IT Operations, application, and data teams.
• Mentor the team to deliver high-quality solutions and uninterrupted operations.
• Communicate clearly regarding team goals, deadlines, and required training.

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping
• Rigorously validate AI tool outputs to ensure quality and safety

• Design new features in a flagship SaaS product
• Code new features in a flagship SaaS product
• Review new features in a flagship SaaS product
• Test new features in a flagship SaaS product
• Refactor legacy software components
• Participate in large-scale design of the future state of the product

• Lead the architecture, design, and implementation of enterprise-scale web applications using modern frontend technologies
• Serve as the technical lead for UI development while remaining actively involved in coding, design reviews, and implementation

• 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

AI-driven vulnerability management. When frontier models can generate thousands of findings in a weekend, the bottleneck shifts from discovery to triage, verification, and remediation. We're building the pipeline that makes this sustainable....

AI-driven vulnerability management. When frontier models can generate thousands of findings in a weekend, the bottleneck shifts from discovery to triage, verification, and remediation. We're building the pipeline that makes this sustainable....

• 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