Lead AI Engineer @ Deutsche Telekom TSI Hungary Kft.

As Hungary’s most attractive employer in 2025 (according to Randstad’s representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees. We have hundreds of large customers, corporations in Germany and in other European countries. DT-ITS recieved the Best in Educational Cooperation award from HIPA in 2019, acknowledged as the the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team.

• Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.

Qualifications

Preferred Skills

As Hungary’s most attractive employer in 2025 (according to Randstad’s representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees. We have hundreds of large customers, corporations in Germany and in other European countries. DT-ITS recieved the Best in Educational Cooperation award from HIPA in 2019, acknowledged as the the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team.

,[Design, develop, and implement end to end AI systems, particularly focusing on large language models (LLMs)., Collaborate with cross-functional teams to integrate AI solutions into existing systems and processes., Conduct research to explore new techniques and technologies in AI and machine learning., Analyze large datasets to identify trends and insights that inform model development., Continuously monitor and improve model performance to ensure accuracy and efficiency., Communicate technical concepts effectively to both technical and non-technical stakeholders.] Requirements : Python, AI, PyTorch, Communication skills, Kubernetes Additionally : Sport subscription, Private healthcare, International projects, Training budget, Mobiltelefon, Free coffee, Canteen, Bike parking, Playroom, Shower, Free parking, In-house trainings, In-house hack days, Modern office, No dress code.