Machine learning software engineer állás, munka

Architect and deliver secure, high-performance microservices primarily on AWS using infrastructure-as-code tools such as Terraform and AWS CDK Deliver end-to-end software solutions in Python and Node.js, including development, deployment, monitoring, and production support Set technical direction...

Create robust, scalable, and secure microservices that power our SaaS platform for governance Leverage AWS (serverless or migrations) with C#, .Net and Angular Own services end-to-end (code, deployment, monitoring) Drive architecture discussions Regularly demo to the department Shape AI strategy by...

• 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.

The Department of Translational Medical Oncology investigates the molecular and cellular mechanisms for cancer development, proliferation, and evolution. To strengthen our expertise in bioinformatics and machine learning, we are offering a position for a highly motivated scientist with significant...

• 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.

• Design, implement and optimize effective data processing architectures in Python
• Extract, transform, analyze, clean and model data from different sources
• Implement and operate maintainable and reliable data pipelines using PySpark and Airflow with a strong focus on data quality

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,...

Design, implement, and maintain automated testing for existing and new features. Support manual testing activities, including functional, regression, and exploratory cross-browser testing. Draw up test scenarios from specifications, maintain a test case library, and update regression test cases as...

• 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.

• 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)

• 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.

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