Machine learning software engineer állások, munkák egyetemi végzettséggel

Play a leading role in designing, building, and evolving our web-based applications in an AI-assisted environment (that support our business model)...

• Develop and maintain test plans, test cases, and test documentation
• Test desktop applications for functional and performance requirements
• Conduct field tests with drones and sensors (eg, methane detector, magnetometer, echo sounder, GPR) to validate HW/SW integration

Conduct field measurement campaigns using Rosenxt measurement technologies....

• Develop and maintain front-end interfaces with React (or Vue) for intuitive user experiences.
• Implement robust backend services and APIs using Node.js, TypeScript, and Python.
• Design, implement, and optimize database schemas across relational and non-relational systems.

• Implementation of software solutions for research purposes
• Translation of research code into robust software (e. g., optimization, refactoring)
• Contribution to research projects to allow deployment (containerization, virtualization)

• Develop hardware-related software using CODESYS V3 and Siemens Step7
• Integrate modules into system architecture and contribute to platform development in C++
• Design and implement software following best practices (e.g., SOLID)
• Perform automated and manual testing to ensure quality

• Maintaining existing as well as creating new Linux applications on the unmanned aircraft.
• Designing and coordinating interfaces between teams, documenting the architecture and design decisions.

implement and productionise ML-based services on our AI- and big-data-platform Databricks, using Python, SQL and Linux....

• Leading engineering projects incl. team lead for vehicle power net testing & vehicle diagnostic
• Plan, execute, document, publish & present status & results to internal & external customers
• Use tools like CANalyzer, CANoe, and data loggers to collect and analyze system data

You will work on AI/GenAI, Business Intelligence, Data strategy & data governance, Data foundation and data architecture, and Intelligent Automation topics on a project basis, for and in collaboration with customers throughout Switzerland and internationally....

Developing innovative solutions that advance AI/ML systems for mobility services Conducting applied research in Agentic AI, including agent design, orchestration strategies, tool integration, and communication protocols Conducting research on AI safety and alignment topics Identifying research gaps...

• Design, configure, and optimize interactions with LLMs through retrieval-augmented generation (RAG), and orchestration.
• Implement tool-calling patterns to integrate LLMs with SaaS tools and APIs.
• Leverage fine-tuning or parameter-efficient techniques for performance enhancement.

• Partner with stakeholders to identify, design and evaluate AI solutions by translating complex business challenges into practical ML and GenAI use cases
• Lead data-driven projects, from requirements analysis to implementation, with a strong focus on business impact

Design and deliver AI-driven solutions for Swiss Financial Services clients, focusing on Agentic AI, intelligent automation, AI enablement, data engineering, and scalable application development....

Build and maintain simulation environments using NVIDIA Omniverse and Isaac Sim for robotic perception, manipulation, and navigation. Develop and integrate robotic behaviors and learning pipelines using Isaac Lab for reinforcement learning and motion planning. Create and manage OpenUSD-based...

• Support in maintaining and further developing Statista's ranking and rating databases, ensuring consistency, accuracy, and scalability
• Implement and optimize data pipelines (ETL/ELT) to automate data collection, transformation, and validation workflows