E learning állások X. 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

• 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

• 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.

• 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....

• Modernise legacy automations: reverse‑engineer existing Excel/VBA solutions and implement agreed replacements using modern automation tools and team standards.
• Build resilient workflows: create automation with robust error handling, logging, and clear recovery steps to minimise manual intervention.

• Develop, update, and maintain HTML emails, responsive landing pages and microsites used in marketing campaigns.
• Collaborate with marketing automation specialists, designers, copywriters, campaign managers and field marketing managers to ensure digital assets meet brand and usability standards.

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...

Lead or participate in scoping the engagement, designing high-level architecture, defining subtasks, and project delivery schedules Deliver projects independently or within a mixed DS/DE team, often as technical lead Act as client-facing interface or SPOC to customers Provide ML/DS consultancy to...

Leading the design and development of a brand new cricket tracking system Owning tracking pipelines across the full system Defining and evolving system architecture Driving robustness, accuracy and performance in live sports environments Working closely with stakeholders, including senior...

Enhancing and modernising an existing Android application Improving performance, stability, and user experience Working directly with mobile camera pipelines using the Android Camera 2 API Integrating and running machine learning models on-device to support ball tracking and player tracking...

Build and implement dataflow pipelines and streaming architectures in FPGA or programmable logic. Develop host-side software, drivers, and runtimes that collaborate with FPGA and accelerator hardware (e.g. PCIe, DMA, VFIO). Partner with compiler and hardware groups to allocate dataflow graphs onto...

Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI models). Implement various machine learning solutions addressing computer vision and NLP use cases. Work with Large Language Models (LLMs), perform prompt engineering tasks. Design and implement data...

Leading the design and evolution of ball and player tracking algorithms using multi-camera systems Owning multi-view geometry solutions across entire tracking pipelines Driving improvements in occlusion handling, recovery and system robustness in live sports environments Overseeing mature computer...

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...

Designing, developing, and improving ball and player tracking algorithms using multi-camera systems Owning and evolving multi-view geometry solutions for accurate, court-wide tracking Developing robust approaches to occlusion handling, recovery, and failure modes in fast-paced sports scenarios...