Company Description
The largest ICT employer in Hungary, Deutsche Telekom IT Solutions (formerly IT-Services Hungary, ITSH) is a subsidiary of the Deutsche Telekom Group. Established in 2006, the company provides a wide portfolio of IT and telecommunications services with more than 5000 employees. ITSH was awarded with the Best in Educational Cooperation prize by HIPA in 2019, acknowledged as one of the most attractive workplaces by PwC Hungary’s independent survey in 2021 and rewarded with the title of 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.
Job Description
We are seeking an experienced and talented AI Engineer to join our dynamic team. As an AI Engineer, you will play a key role in developing and deploying state-of-the-art Natural Language Processing (NLP) and Large Language Models (LLM) solutions. You will also be responsible for effectively managing and optimizing the data required for these projects. This position offers a unique opportunity to work on cutting-edge AI technologies and make a significant impact on our organization's AI initiatives.
Key Responsibilities:
- NLP and LLM Development: Design, develop, and implement NLP and LLM algorithms and models to solve complex business problems. Create and fine-tune language models, including pre-trained and custom models.
- Data Management: Lead the management of large and complex datasets for AI projects. Ensure data quality, data privacy, and data security while optimizing data pipelines and storage solutions.
- Model Training and Evaluation: Train, validate, and evaluate NLP and LLM models to achieve high levels of accuracy and performance. Continuously improve and optimize models based on feedback and evolving business needs.
- Feature Engineering: Extract and engineer relevant features from unstructured text data for model training and analysis.
- Data Preprocessing: Develop and implement data preprocessing and cleansing techniques to prepare raw data for model training.
- Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts to integrate AI solutions into real-world applications.
- Research and Innovation: Stay updated on the latest developments in NLP, LLM, and AI technologies, and explore innovative approaches to enhance AI capabilities.
- Data Governance: Establish and enforce data governance best practices, ensuring data compliance with relevant regulations and standards.
- Documentation: Create and maintain comprehensive documentation for AI models, data management processes, and best practices.
Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Proven experience in NLP and LLM, with a strong portfolio of projects demonstrating your expertise.
- Proficiency in programming languages such as Python, and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Solid data management skills, including data extraction, transformation, and loading (ETL) processes.
- Familiarity with data storage solutions, databases, and data warehousing.
- Strong problem-solving skills and the ability to work with large, messy, and unstructured datasets.
- Knowledge of data privacy and security regulations, such as GDPR and HIPAA.
- Excellent communication and teamwork skills.
- Self-motivated and able to work independently and collaboratively.
Preferred Qualifications:
- Experience with cloud-based data platforms (e.g., AWS, Azure, GCP).
- Understanding of containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Knowledge of natural language processing libraries and tools (e.g., spaCy, NLTK).
- Experience with model deployment and serving in production environments.
Additional Information
* Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.
