Data állások VIII. kerületben (programozó, fejlesztő)

Design, prototype, and refine LLM based features over large document sets. Orchestrate multi step, agentic workflows and tool calling (including MCP servers and other integrations) so LLMs can take meaningful actions, not just generate text. Define evaluation frameworks, experiments, and metrics to...

Creation of Python code, tests, and modification of GitHub Action CI/CD pipelines Working with AWS-based infrastructure and Docker containers Deploying, debugging, and running systems as part of platform engineering Delivering and scaling AI solutions embedded in cross-functional teams Deploying...

Design various RESTful APIs and backend databases in multi region environment. Contribute into targeting engine and segmentation pipelines. Develop automations and tests to ensure system stability. Collaborate with various Engineering and Business teams on their needs. Drive innovation in Data...

Assess and clarify Customer’s functional requirements related to the system/software jointly with business consultants Develop and modify applications or part of the application, prepare related documentation Work out and develop solutions, concepts, procedures, operational method or mathematical...

Partner with Product Owners, project managers, and stakeholders to translate business needs into well-designed CRM capabilities. Build and enhance Salesforce solutions using Apex, Lightning Web Components (LWC), and Flow-first automation. Design and implement scalable Salesforce applications across...

Design, implement, and manage Azure cloud infrastructure to support Databricks and data platform workloads Build and maintain Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory (AAD) integrations Implement Infrastructure as Code (IaC) using...

Manage a team of highly skilled engineers focusing on the development of accelerated data processing solutions Lead and motivate the team to successfully conduct projects meeting internal and external customer needs Collaborate with the deep learning software engineering community to contribute to...

Programming in languages relevant to AI (e.g., Python, Java) Using modern AI/ML frameworks and platforms (e.g., TensorFlow, PyTorch, Oracle Cloud AI services) Enterprise software development including REST APIs, microservices, and cloud-native architectures Translating business needs into scalable...

Design, train, and optimize machine learning models for real-world applications. Build end-to-end ML pipelines including data preprocessing, feature engineering, model training, validation, and deployment. Collaborate with data engineers and software developers to integrate ML models into...

•Working closely with the Engineering Digital team to support high-tech industrial projects with support of our experienced engineers. •Participate in creating Digital Twin solutions and performing simulation tasks. •Opportunity to learn how to build industrial applications using the Mendix...

Design, develop, and maintain components of the deployment stack and software kernels for AI compute platforms Optimize and implement core ML operators (e.g., GEMMs, convolutions, BLAS routines, SIMD kernels) Translate computational graphs from ML frameworks onto the underlying hardware Contribute...

• Modern BI platform fejlesztésében való részvétel
• Adattárház- és BI-keretrendszerek tervezése, fejlesztése
• Nem klasszikus riportálás (nem Power BI)
• Framework-szintű fejlesztések, adatmodellezés
• Szoros együttműködés nemzetközi (főként osztrák) csapatokkal
• Agilis (Scrum) környezetben való munka

• Fejlesztési igények technikai értelmezése és megvalósítása, a kapcsolódó dokumentáció elkészítésével.
• Aktív részvétel egy belső fejlesztésű portál továbbfejlesztésében.
• Aktív részvétel belső vállalati alkalmazások továbbfejlesztésében és karbantartásában.

• Lead Software Development: Take the lead in designing, developing, and maintaining complex software applications to meet project requirements.
• Design Collaboration: Collaborate with cross-functional teams to define design specifications and details, taking into account diverse perspectives.