Programozó állások, munkák XXI. kerületben

• Delivery of software releases on schedule with defined scope and quality
• Transition to continuous delivery
• Ensuring reliable operation of CI/CD pipelines and improving their efficiency
• Contribution to test strategy and coordination of its execution

• 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

• 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

Szakmailag irányítod és összefogod az analitikus CRM és lakossági adatmenedzsment terület munkáját, biztosítva az analitikus szakértők szakmai támogatását, fejlesztését és feladataik összehangolását....

• Own and manage the product backlog
• Define, refine, and prioritise user stories with clear acceptance criteria in close collaboration with the development team

• Architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud
• Integrate NVIDIA technology into HPC architectures to support scientific and engineering applications
• Champion Deep Learning and Infrastructure among the NVIDIA technical community

• Design and build agentic systems that plan, call tools and automate real business workflows
• Develop LLM-powered applications including RAG pipelines: chunking, embedding, retrieval strategies, evaluation and iteration

• Delivery of agentic solutions across multiple client deployments
• Building and configuring full-stack AI-enabled solutions
• Embedding with client service teams and client teams to understand needs
• Translating client needs into technical and functional requirements

• 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

• CI/CD-folyamatok tervezése, felépítése és üzemeltetése (Azure DevOps, GitLab CI, GitHub Actions vagy Jenkins)
• Infrastruktúra kezelése kód formájában (Terraform, Bicep/ARM, Ansible)
• Konténeres környezetek felépítése és üzemeltetése (Docker, Kubernetes / AKS)

• Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform
• Building robust, scalable pipelines using Azure Databricks (PySpark / SQL)
• Design and enforcement of data architecture standards including Delta Lake / Lakehouse architecture and data modeling

• Implementation and optimisation of approved looks
• Collaboration with supervisors, lighters, and compositors to ensure high-quality shot delivery
• Alignment and self-direction of work with schedules and creative expectations

• Integrating rendered layers
• Producing the final look of the shots
• Creating and managing additional lighting tasks

• Embedding in the daily life of up to three engineering teams: Customer Platform and Scoring
• Ensuring technical design alignment with SEON's architectural best-practices
• Ensuring security, scalability, and compliance in technical designs

• Building and maintaining the GRC Brain (AI reasoning layer) and Agentic Cortex (agent orchestration framework)
• Designing and implementing a 7-agent architecture including OnboardingAgent, ScopeAgent, StandardsMapper, RiskQuantifier, PolicyAnalyzer, InfrastructureAuditor, and ComplianceMonitor

• Creation of 3D rigs for different types of objects, animals and characters
• Collaboration with the visual effects supervisor and Lead CG to determine the best possible technical and creative approaches
• Delivery of work within established project targets and high quality standards

• Developing testbenches and test cases to verify the design to high standards
• Investigating alternative options for existing design or verification implementations
• Developing and trialling new processes and flows to be used by the verification teams

• Working across the software stack including firmware, operating systems, device drivers, compilers, runtimes and middleware
• Developing high-performance software for Arm’s advanced architectures, CPUs, system IP, and integrated sub-systems
• Exploring firmware and OS interactions

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

• Ownership of data engineering features, architecture, and code quality
• Design, implementation, and maintenance of Databricks-based data pipelines and workflows
• Building and optimization of ETL/ELT processes using Apache Spark on Databricks