Ai engineer állás, munka

Nagy nyelvi modellekre (LLM) épülő, RAG (Retrieval-Augmented Generation) és agentic alapú rendszerek aktív fejlesztése, a koncepciótól a működő prototípusig. ...

• Model Development: Design, train, and fine-tune machine learning models using large-scale datasets to solve complex problems.
• Data Management: Collect, clean, and preprocess data to ensure high-quality inputs for AI systems and model training.

• A generatív mesterséges intelligencia, különösen a RAG (Retrieval-Augmented Generation) és Ágens alapú AI rendszerek területén uralkodó trendek folyamatos követése; 
• Közreműködés nagy nyelvi modellek (LLM) alapú rendszerek fejlesztésében, innovatív megoldások kidolgozásában;

• Design and develop APIs and backend services using MuleSoft Anypoint Platform and Java.
• Build scalable, secure microservices and integration solutions.
• Collaborate with product managers, designers, and QA engineers to deliver high-quality features.

• Design and implement cloud-based data solutions utilizing GCP services,
• Lead the development of data pipelines and distributed frameworks that ensure scalability, optimal performance, and long-term reliability,

Design, develop, and maintain components of the deployment stack and software kernels for AI compute platforms Optimize and implement core ML operators (e.g., GEMMs, convolutions, BLAS routines, SIMD kernels) Translate computational graphs from ML frameworks onto the underlying hardware Contribute...

Optical Signal Modelling & ML Development: Design, develop, and refine machine-learning models that estimate blood pressure from optical data (PPG/rPPG, RGB video) captured via smartphone cameras...

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...

• Act as NIS2 Integration Expert, bridging the German KRITIS team with other EU member states' critical infrastructure teams.
• Manage Cross-Border Integration of security protocols, processes, and controls in accordance with NIS2.

• Further & new development of DNNs and (local) LLMs and their combinations for identifying process steps in web and desktop applications
• Further & new development of graphical algorithms with the same purpose
• Integrate those models and algorithms into our existing solutions

• Act as NIS2 Integration Expert, bridging the German KRITIS team with other EU member states' critical infrastructure teams.
• Manage Cross-Border Integration of security protocols, processes, and controls in accordance with NIS2.