Machine learning software engineer állás, munka

• Defining the technical design of the system
• Refining and estimating Use Cases
• Implementation of domain and cross-cutting services in a team of up to 5 developers
• Close collaboration with Product Owners, Architects, and other Software Engineers

• Develop and maintain high-performance web applications using React and TypeScript
• Implement and optimize backend services and APIs running in a Kubernetes powered Azure environment
• Work within a monorepo architecture to ensure modularity and efficient code management

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.

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

• 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.

Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI models) Implement various machine learning solutions addressing computer vision and NLP use cases Work with Large Language Models (LLMs), perform prompt engineering tasks Design and implement data transformation...

• 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)

• Contribute to the development of Gen/Agentic AI and Data solutions
• Get practical experience in implementation operation of AI Use cases across various business areas within Allianz Re
• Explore and ensure the quality of our comprehensive databases.

• 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.

• an excellent degree (. or equivalent) in Computer Science, Machine Learning, Applied Mathematics or a related field (e.g. Electrical Engineering)
• strong mathematical understanding
• experience in programming, preferably in Python

• You continuously develop our frontend framework.
• With your commitment, you will shape the conception, implementation and testing of the basis of our online shop.
• You contribute to guidelines and best practices for our front-end development and share them with the team.

Build impactful products: Develop and deliver high-quality solutions that exceed client expectations. Collaborate internationally: Work in a multicultural environment with global clients. Contribute to quality: Share your knowledge through code reviews and continuously improve codebases....

Build impactful products from ideation to market-ready solutions in an agile team Lead and inspire as a technical architect, mentor peers, and foster continuous improvement Collaborate and grow by sharing knowledge, learning from others, and thriving in coding challenges...

Work in cross-functional agile teams alongside data scientists, machine learning engineers, product managers, and industry experts to innovate with clients and consulting teams Develop new or enhance existing assets Design and build robust, modular, scalable, and secure data pipelines for machine...

With us, you have the opportunity to perfectly combine your studies with practical experience while actively contributing to exciting projects. This allows you to gain valuable skills, expand your network, and grow both professionally and personally. We are seeking passionate and talented students...