T Hub - AI Engineer

Nasze wymagania: Minimum 5 years in software engineering or machine learning roles with strong AI focus English language proficiency B2 or above. German language skills would be beneficial but not essential Expert in Python programming with strong software engineering best practices, including clean code, code reviews, testing, and production-grade deployments. Proficient in software design patterns and development methodologies applicable to AI/ML projects. Experience with GitLab repositories, version control, and CI/CD pipelines. Hands-on experience with Google Cloud Platform (GCP) services and managing cloud-based AI workloads. Skilled in working with on-premises Linux-based GPU computing environments. Familiarity with containerization and orchestration technologies (Docker, Kubernetes) is a plus. Good understanding of supervised, unsupervised, and reinforcement learning algorithms and techniques. Practical experience with neural networks, including CNNs, RNNs, Transformers, and their application in ML solutions. (Nice to Have) Expertise in developing, deploying, and optimizing AI/ML models for performance, scalability, and cost-efficiency. Strong knowledge of Large Language Models (LLMs), Prompt Engineering, and Generative AI frameworks. Experience with Agentic AI frameworks such as ADK for building multi-agent systems. Ability to design and implement AI-driven decision-making and tool-using agents. Competency in SQL, data preprocessing, feature engineering, and building ETL pipelines. Skilled in exploratory data analysis (EDA), visualization, and result interpretation. Experience with distributed computing frameworks for large-scale data processing. Knowledge Graphs & Semantic Technologies (Nice to Have): Familiarity with Knowledge Graphs and graph databases such as Neo4j. Basic understanding of data modeling, ontologies, and schema design principles. Zakres obowiązków: Build and develop Agentic AI- / GenAI- based solutions. Integrate AI models into production systems working closely with other engineering teams. Optimize models for performance, scalability and cost-effectiveness. Prepare, explore and analyze data using Python. Work with an on-premises, Linux-based GPU computing platforms and cloud-based instances especially Google Cloud Platform. Document technical approaches, model architectures and implementation details. Be a strong and transparent communicator able to work with customers to set goals, identify risks and prerequisites, report progress, present results and seek feedback. Collaborate with data science, POs and IT teams to define requirements into implementation. Oferujemy: You can look forward to working in our Network Analytics Team in Group Technology consisting of artificial intelligence (AI) and Machine Learning (ML) experts developing advanced analytical solutions for the Deutsche Telekom Group. Your daily work will be focused on analyzing data, developing automated tools using GenAI & ML models, and working on challenging use cases. You will work alongside software engineers and other AI engineers. This role is for you if you enjoy working in an enriching international environment with opportunities to travel and grow. This role requires the flexibility to travel abroad a minimum of three times per year to attend client meetings, conferences, or team off-sites (typically 3-4 days per trip).