E-learning állások, munkák it programozás, fejlesztés területen

• Provide advanced (3rd line) IT support, handling complex and escalated hardware, software, and network issues.
• Act as an escalation point for junior and intermediate team members, providing guidance and technical expertise.

• Provide second-line IT support to end users, resolving more complex hardware, software, and network issues.
• Manage and prioritize incidents and service requests, ensuring resolution within agreed SLAs.
• Install, configure, and maintain end-user devices, including laptops, desktops, and mobile devices.

• 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.

• Managing day-to-day operations of Databricks data pipelines, including monitoring, troubleshooting, and performance tuning
• Maintaining Delta Lake data layers (bronze / silver / gold), ensuring data availability, consistency, and smooth pipeline execution

• 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

• taking part in large IT projects as a subject matter expert, depending on your previous experience (e.g. architecture design, IT system and IT landscape reviews, vendor selection, quality assurance)
• analyzing clients’ IT environments, applications, and architecture landscapes

Assists in planning and performing internal audits and special projects to evaluate the effectiveness and efficiency of internal controls, business processes, and procedures at Eaton operations....

• What you will do:
• 1. Application Support / Business Continuity
• Provide day-to-day L2-L3 support in SAP ECC (temporary) and S/4HANA
• Resolve technical incidents in a close cooperation with internal and external partners
• Serve as a technical and functional consultant for business stakeholders

• Development and implementation of machine learning models for space-related applications
• Collaboration with engineers, mission planners and software developers to integrate AI solutions into flight and ground systems

• Developing and evaluating AI systems based on Large Language Models (LLMs), Vision-Language Models (VLMs), and multimodal foundation models
• Designing agentic workflows that automate complex image analysis tasks

• Design and develop algorithms for 3D positional and trajectory data reconstruction from 2D detections
• Design and build computer vision components for detection, tracking and calibration workflows
• Contribute to calibration systems and validate reconstructed trajectories

Design, train, and evaluate machine learning models for manufacturing use cases such as quality prediction, anomaly detection, predictive maintenance, and process optimisation, covering the full ML lifecycle from problem definition to performance tuning....

• Developing, testing, and improving control and learning algorithms for humanoid robots
• Working with simulation environments for training, evaluation, and benchmarking
• Supporting reinforcement learning, imitation learning, or model-based learning pipelines

As a Machine Learning Engineer in our Retail ML team, you will take end‑to‑end ownership of designing, developing and maintaining advanced machine learning solutions that directly influence our commercial performance. Your work will span dynamic pricing, demand forecasting and data‑driven buying...

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build intelligent document understanding solutions

• Design, maintain and deploy scalable, end-to-end training pipelines, including hyperparameter optimization
• Transfer control policies from simulation to real robotic hardware
• Integrate learned policies into a full-stack robotic system, including perception, planning, and actuation

• Build and operate multi-cluster containerized environments across cloud platforms
• Create end-to-end CI/CD pipelines for cloud-native applications and machine learning workloads
• Lead cost-optimization and FinOps initiatives for GPU, storage and data-egress spend

• Joining junior team assisting with latest projects
• Working with source code and applying development processes
• Attending online brainstorming sessions regularly
• Learning best practices and key technologies to quickly become productive

• Design, develop and maintain software, tools and applications across the Baseball tracking platform
• Modernise and improve existing software systems
• Develop cross-platform C++ applications and visualisation components
• Participate in code reviews, pair programming and agile ceremonies

In this PhD project, you will investigate neural 3D scene representations, including neural radiance fields, Gaussian splatting, and implicit occupancy models, and adapt them to the unique challenges of in-cabin perception. Unlike exterior environments, where a moving sensor observes a largely...