E learning állások, munkák it programozás, fejlesztés területen

• Facilitate Scrum ceremonies including sprint planning, daily stand-ups, reviews, and retrospectives
• Coach team members and stakeholders on agile principles, ensuring consistent adoption across projects

Own end-to-end design projects, delivering comprehensive solutions from user requirements and information architecture to task flows, wireframes, and high-fidelity, production-ready interfaces....

• 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

• 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

• Design and create end-to-end learning paths for customers, partners and sales teams
• Produce tutorials, guides, videos, labs and product explanations for T Cloud Public services
• Describe ServiceNow CSM onboarding steps, including forms, cases and customer-facing workflows

• Design and development of frameworks and guardrails for ML solutions and products
• Staying updated on industry trends, emerging technologies, and best practices
• Directing exploration and implementation of new AI technologies and methodologies including MLOps

• Executing system data maintenance and administrative activities in Cornerstone and all relevant Learning management systems
• Providing non-systems related Learning process support

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....

• Design, development, and optimization of core ML models in Computer Vision and Deep Learning
• Development of efficient, scalable training and inference pipelines
• Mentoring junior ML engineers, code review and sharing best practices

• Designing and developing new machine learning models with a focus on real-time performance
• Integrating cutting-edge ML features into the SkeleTRACK product
• Analysing model performance and identifying areas of improvement
• Mentoring junior engineers and driving technical discussions

• 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

• Learning from senior and medior developers through mentoring and structured knowledge-sharing
• Supporting daily development with simpler workflows, forms, and minor software updates including implementation and documentation

• Monitoring external trends, market developments, and emerging leadership topics
• Identifying future leadership and executive development needs aligned with business strategy and transformation

• Leading and scaling PV Regional Center operations across EEMEA region
• Overseeing all PV and Device Vigilance operations in the region
• Driving absolute compliance and operational agility
• Integrating clinical safety into operations
• Directing and motivating a multi-site regional team

• Support migration of entities into SAP S/4 Hana with emphasis on manufacturing module
• Perform data validation and controls testing for automated processes
• Troubleshoot and resolve issues during setup, testing, go-live, and post go-live
• Identify and ensure business requirements are met within projects

• Develop and Implement: Build and maintain platform solutions that improve the reliability, security, and scalability of our Database Platform infrastructure.
• Operational Excellence: Apply cloud infrastructure, networking, and CI/CD best practices to support our operational data storage solutions.

• Design and deliver technical trainings, workshops and enablement sessions for customers, partners and internal teams
• Explain complex cloud architectures, concepts and T Cloud Public services in a clear and structured way
• Develop and maintain training materials, hands-on labs and certification content

• Development and testing of audio signal processing systems
• Implementation, verification, and documentation of low-power real-time signal processing algorithms on DSP
• Hardware platform and digital logic design for signal processing systems

• Planning, coordination, and delivery of signal detection and product safety scientist activities
• Mentoring of more junior colleagues
• Development of processes, tools, and systems
• Serving as lead on smaller FSP-type projects
• Supporting strategies for safety data generation, assessment, and communications

You develop advanced machine learning-based architectures for automated driving functions and shape the way in which we scale our ML development....