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• Creation of infrastructure for FAQs and self-service pages
• Development and launch of a chat platform as a primary support channel
• Enabling smarter customer interactions
• Automating solutions for customer support
• Helping other teams deliver better support experiences

• Contribution to Customer Platform team development
• Delivery of high-quality NodeJS, TypeScript and React code with simplicity, performance, and scalability
• Design and implementation of client and database-related application features

• Ensuring the reliability, availability, and performance of systems by implementing SRE best practices
• Developing and maintaining comprehensive monitoring and alerting systems using tools such as Prometheus, Grafana, ELK stack
• Managing incident response and root cause analysis for production issues

• Ownership of quality and test strategy for critical backend services, APIs, and data flows
• Design, implementation, and maintenance of automated test suites in Python covering API, integration, and service-level testing

• Build and develop long-term strategic relationships with leading industrial customers
• Identify innovation opportunities and translate emerging technologies into customer value
• Shape collaborations between industry partners, universities, and research institutions

• Support the mechanical engineering team on topics related to AI and machine learning
• Develop measures to improve data availability, data collection, and data analysis
• Together with the team, you will work on exciting projects that use AI to further advance automation

• Maintain, further develop and continuously improve our Europe-wide Information Security Management System to ensure its ongoing effectiveness
• Support in reviewing and optimizing current processes in accordance with industry standards and best practices

• Building innovative technology that shapes global financial markets
• Solving complex, quantitative problems in a fast paced, collaborative environment
• Delivering mission critical solutions at scale alongside experienced technologists and financial engineering experts

• End-to-end AI solution ownership from problem definition through prototype validation and production support
• Partnership with product managers and business stakeholders to translate real-world problems into data science and AI initiatives

• Understanding implementation of Fixed Income Derivative Pricing Models written in C++ including yield curve, inflation, FX and volatility derivative models
• Quantitative modeling involving analysis of model output and time-series to define correctness criteria and thresholding measured daily

• Provide end-to-end leadership across projects within the ISP.
• For the various projects, define target application landscapes, integrations, data flows, lifecycle management, and system dependencies.

• Support the Project Management Office (PMO) in structuring and maintaining project governance artifacts (e.g. plans, reports, templates)
• Assist in tracking project progress, milestones, and deliverables across multiple development projects

• Design cloud architectures for digital products, data platforms, and AI-driven solutions on GCP, AWS or Azure
• Define end-to-end system architecture across data, services, and AI workflows
• Ensure scalability, maintainability, and long-term viability of architectural decisions

• Design and build custom AI applications
• Embed AI across a customer's software development lifecycle
• Build enterprise systems using AI tools
• Ship production-ready work integrating with customer's environment
• Deliver solutions across full project lifecycle

• Define, maintain, and further develop the target architecture for core enterprise systems
• Ensure compliance with enterprise architecture principles, security standards, and regulatory requirements
• Support IT landscape governance with a long-term strategic perspective

• You develop and improve our codebase continuously, you automate evaluations, and you use these tools independently to support our system development
• You analyse simulation and measurement data, summarize the results, and present them in a way that is tailored to the respective audience

• Translate business requirements into technical solutions through workshops, prototyping, and iterative delivery
• Collaborate with customers across the delivery lifecycle (workshops, reviews, UAT) to refine and optimize solutions

As an AI Research Engineer at Bosch, you will explore a variety of real-world use cases that can significantly benefit from cutting-edge Large Language Models (LLMs), end-to-end trained ADAS systems, and AI agents....

• Make optimization runs fast enough that customers iterate in minutes, not hours — across problems an order of magnitude larger than today
• Build the data backbone: ingest SAP/ERP exports, Excel reality, and operator knowledge into a clean, versioned, traceable model layer

• End-to-end MES project implementations
• Solution analysis including assessment, requirements, process design, and solution design
• Solution implementation including configuration, development, and testing
• Implementation and support of VB.NET based software solutions
• Participation in the MOM Delivery team