E learning állások XXIII. kerületben középiskolai végzettséggel

• Real-time decision making with machine learning for risk assessments
• Ownership of risk infrastructure for Instant ACH in the US market
• Cross-functional collaboration with software engineers, data analysts, and data scientists

• Managing, coordinating, and instructing drivers who are currently available and ready for assignments.
• Planning and organizing driver assignments based on individual skills and competencies.
• Handling daily operational matters related to drivers and resolving arising issues.

• Acclimate new hires to the business and conduct orientation sessions
• Support and mentor new hires
• Create comprehensive and effective training and knowledge skill development programmes
• Liaise with managers to determine training needs and schedule training sessions

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

• Design, build, and maintain large-scale distributed data systems
• Develop data processing pipelines using technologies such as Spark and streaming solutions
• Work on systems that evaluate and ensure the quality and integrity of large-scale knowledge graphs

Interact with customers / stakeholders in a professional, friendly and efficient manner and raise concerns about meeting service levels or deadlines...

• Maintaining and evolving data structures
• Building new ETL flows and maintaining or improving existing ones
• Designing new data structures and data modelling concepts
• Ensuring data quality by verifying data consistency and accuracy
• Creating data validation methods

• Maintaining and evolving data structures
• Building new ETL flows and maintaining or improving existing ones
• Designing new data structures and data modelling concepts
• Ensuring data quality by verifying data consistency and accuracy
• Creating data validation methods

Anti-Money Laundering (AML)/Customer Due Diligence (CDD) reviews and investigative analysis on all new and existing client instructions...

• Writing and maintaining clean, high-quality, and efficient code that aligns with project specifications using AI tools daily to accelerate delivery
• Executing comprehensive testing and seamless deployment of programs and systems

• Development of infrastructure providing insights into operational cost and risk associated with Wise product ownership
• Enhancement of product to reduce Wise's cost for customers and enable smoother experience when additional information is required

About the role: Are you looking for a position that allows you to gain real life work experience and professional knowledge? Does learning from industry leading mentors sound appealing to you? Take your first steps into the corporate world with Schneider and discover new challenges. You will have a...

Be on the front line of support for clients and deliver impactful work on a company level. In this role, you will process the customer experience cases via a different application, and respond to customer inquiries in a timely and accurate way, using a variety of modern communication channels. ...

Perform transactions related to End Customer Investment Fund (ECIF) activities, ensuring compliance with client legal, statutory, and operational requirements in accordance with established SOPs and SLAs....

• Assistance in developing AI-powered workflows using large language models such as Claude, GPT, and related technologies
• Support for implementation, testing, and maintenance of workflow automation solutions

• Providing first-line technical support for software, hardware and network-related issues.
• Logging, tracking and resolving incidents and service requests.
• Troubleshooting technical problems and escalating more complex cases when required.
• Following up with users to ensure successful resolution.

• Supporting the daily operation of the Reservation Department
• Handling general administrative duties
• Registering individual and group bookings
• Responding to incoming emails and phone inquiries
• Recognizing potential upselling, business opportunities
• Maintaining continuous contact with other departments

• Architect and lead the development of large-scale ML systems and model pipelines
• Introduce new ML systems such as traffic sign detection, building facade detection, and other computer vision-based solutions
• Define and drive the ML technical roadmap in alignment with company objectives

• Leading a data engineering team comprising 5-6 consultants
• Overseeing project delivery
• Managing and mentoring the team
• Ensuring successful execution of data engineering projects
• Ensuring successful execution of ML/MLOps projects
• Ensuring successful execution of cloud migration projects

• Establish data feeds with custodian banks, data vendors, and other service providers
• Support senior leadership, clients, and the broader Data Team in executing analyses and providing data-driven answers to questions
• Fully automate and centralize existing data integration processes