E learning állások VIII. kerületben (programozó, fejlesztő)

• Develop and operationalize solutions across classical AI/ML/DL and generative AI use cases
• Build, evaluate, and optimize machine learning and deep learning models for business applications
• Integrate data and AI services from APIs, third-party platforms, cloud services, and internal systems

• Designing and managing cloud infrastructure across AWS, Azure and GCP, supporting multi-cloud strategies
• Implementing cloud adoption and migration strategies aligned with business and technical goals
• Ensuring security, compliance and cost-efficiency of cloud environments

• Design, build, and maintain reliable CI/CD pipelines using tools such as Jenkins or GitLab CI
• Support containerization efforts and manage orchestration environments using Docker and Kubernetes
• Assist in operating and optimizing cloud infrastructure across AWS, Azure, or Google Cloud

In this role, you will design and develop backend components that form the backbone of our digital products, using Java and Spring Boot as your primary toolkit. You will implement and maintain well‑structured RESTful APIs, following best practices in API design to ensure reliability, clarity, and...

• In this role, you will design and develop both frontend and backend components using Java, TypeScript/JavaScript, and modern frameworks such as React or Angular.
• You will work closely with cross‑functional teams to deliver high‑quality, user‑centric software solutions that create real value.

• Ensuring the completion of development tasks to support the new release of projects/solutions
• Grooming user stories with Product Owner
• Supporting production requests or fixing issues
• Unit testing applications and reporting daily progress on daily stand-up meetings

• Development of high-availability, high-prestige enterprise portals and applications
• Participation in system integration projects in both international and domestic markets
• Use of the following technology stack: Java 17+, Spring Boot, J2EE, SQL, Maven, REST, JSON

Coordinates the execution of MOL Group business, functional strategy in their department, focusing on areas performing core business functions....

Project specific intro: The Vulnerability Tracking System (VTS) is a centralized solution that detects and tracks security vulnerabilities across Siemens’ applications and components by correlating them with a vulnerability database, enabling a shift-left security approach. You’ll make an impact...

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...

Take infrastructure projects to a whole new level Maintain an overview in agile projects by reliably validating requirements and implementing them conscientiously Take the lead in small development or Scrum teams depending on experience and knowledge Spot opportunities for optimization and identify...

Learn the existing system architecture, codebase, tools, and development practices Validate existing technical documentation and flag any gaps or outdated content Proactively highlight blockers to knowledge transfer (e.g., missing info, unclear logic, inaccessible systems) Maintain coding...

Develop, customize, and maintain ServiceNow applications, modules, and integrations. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Design, develop, test, and implement ServiceNow solutions in alignment with industry best...

Develop and customize Microsoft Dynamics 365 applications using C#/.NET and Power Platform tools Build integrations between Dynamics 365 and Azure services (Logic Apps, Functions) as part of a modern cloud architecture Support the migration from Salesforce to Dynamics 365 — helping to unify global...

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...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

Participate in a 6-month intensive training program to become a Data Engineering Consultant Learn and master Apache Spark and Databricks on AWS/Azure Deliver hands-on project work during training sprints Work on complex capstone projects Shadow senior consultants on real-life engagements Contribute...

Deliver complex data engineering projects individually or by leading small delivery teams Work with EMEA and US customers to solve data engineering, ML, ML Ops, and cloud migration challenges Set up new data architectures from scratch Guide customers through adopting the latest technologies Manage...

Operation and maintenance of enterprise LDAP directory services Manual directory interventions (user and data maintenance across environments) Creation and customization of LDAP scripts (reporting, staging, export) Support of directory audits and bind analysis Schema extensions and Access Control...

Design and implement agent‑to‑agent communication patterns and multi‑agent collaboration workflows. Integrate LLMs, RAG pipelines, and external APIs/tools into end‑to‑end agent systems. Develop, test, and iterate on orchestration logic (routing, planning, tool selection, error handling, and...