It infrastructure engineer állás, munka

Manage a team of highly skilled engineers focusing on accelerated data processing solutions development Lead and motivate team to conduct projects meeting internal and external customer needs Collaborate with deep learning software engineering community to contribute to and improve open source code...

Collaborate as part of a cross-functional AI Platform team with Software Engineers, SREs, and internal AI customers (e.g. Data Scientists and Backend Engineers)....

• 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.

Az ügyfelek technikai problémáira magas színvonalú szakmai megoldás kidolgozása Az ügyféligények feltérképezése és együttműködés a megoldás kialakításában Részvétel a termékfejlesztési projektekben A fejlesztő kollégákkal egyeztetés a megoldási lehetőségekről...

Lead the design, development, and evolution of suena's backend and API infrastructure—ensuring scalability, performance, and reliability as our platform grows....

• Implement and productionise ML-based services using Sagemaker
• Work on NLP and LLM projects, applying your expertise to contribute to and build on our existing solutions.
• Utilize IaC and CI/CD best practices to increase the efficiency in deployment and management of resources.

Implement, integrate, configure, enhance, and maintain Kubernetes/Helm/Java-based microservices Develop automated test cases in Java to verify both functional and non-functional requirements Collaborate with teammates and cross-functional teams Be involved in all steps of development, testing,...

• Work closely with world leading experts in the field of Machine Learning and Video Editing
• Directly work in the core processing, render and ML code of our video and audio applications.
• Enhance your skills to remain at the forefront of the newest development, testing, and deployment techniques

• Design, implement, and maintain high-performance, scalable backend services that power our platform.
• Work on resilient distributed systems using Kafka for event-driven workflows and Redis for real-time, fast data access and caching.

• Collaborate closely with your Tech Lead on architecting new features and seeing them through to completion.
• Design, develop, test, deploy and maintain software in a thriving environment.

You build, validate, and analyse finite element models (FEA/FEM) for structural, crash, noise, vibration, roughness, and aerodynamic simulations....

You build, validate, and analyze finite element models (FEA/FEM) for structural, crash, noise, vibration, harshness, and aerodynamic simulations....

• 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.

• 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.

Design and develop scalable data architectures for integrating our tailored and standard software solutions into our clients' environments, collaborating with professional services, software engineering and cloud operations....

Develop tools that enable large-scale forecasting and modelling of market sizes, market shares, and other key indicators across Statista's market insights coverage....

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

• Own technical lifecycle of 3rd party SaaS applications inventory at N26
• Design, develop, test, deploy and maintain software in a thriving environment
• Stay up to date with the latest trends in technology and you are not afraid to propose some findings during our GSDD.

• 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.

• 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