Machine learning software engineer állás, munka

• Design and lead development of AI products for business-specific use cases.
• Mentor and guide the software engineering team, setting clear technical directions and providing architectural oversight.

• You will take technical responsibility for complex, cross-functional AI initiatives - from requirements analysis through to implementation.
• Furthermore, you will independently identify, evaluate, and manage AI-related projects.

• You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Additionally, you support the entire AI lifecycle - from data preparation through development and training to the productive operation of machine learning and generative AI solutions.

Lead the design and evolution of frontend architecture across multiple teams, ensuring consistency, performance, and scalability. Influence and define the frontend technology stack, with a focus on Angular, TypeScript, and modern web standards. Act as a technical consultant to stakeholders,...

• You will take overall technical responsibility for complex, cross-functional AI initiatives - from requirements analysis through to implementation.
• You will independently identify, evaluate and manage AI-related projects.

• Orchestration, deployment and administration of the open source software services developed at OSL.
• Design, development and implementation of data workflows within the above-mentioned software tools.
• Design, development and maintenance of software extensions within the above-mentioned software tools.

• You create advanced AI approaches for general-purpose robotics, with a focus on robotic foundation models.
• Furthermore, you train, finetune, evaluate, and deploy models such as vision-language-action architectures.

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 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....

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