Descripción del puesto:
thyssenkrupp is an international industrial and technology group with around 98,000 employees. In the fiscal year 2023/2024, the company generated sales of 35 billion in 47 countries. Its business activities are bundled in five segments: Automotive Technology, Decarbon Technologies, Materials Services, Steel Europe and Marine Systems. With extensive technology know-how, the businesses develop innovative solutions for the challenges of the future, especially in the fields of climate protection, the energy transition, digital transformation in the industry and mobility of the future.
In the Hungarian development center with our engineering team of 1000 we are present as an innovative and significant partner in one of the fastest growing and most exciting segment of the automotive industry, in the field of electromechanical steering systems. With outstanding quality and high-tech developments we meet the needs of renowned car manufacturers and our developments can be found in 25 % of the manufactured cars all over the world. Our engineers work on new challenges that can change the future of automotive.
You will play a key role in developing and operationalizing AI solutions across both classical machine learning and modern generative AI use cases. You will work on end-to-end AI systems, from data preparation to production deployment, collaborating closely with cross-functional teams.
Responsibilities
* Develop and operationalize solutions across classical AI/ML/DL and generative AI use cases
* Build, evaluate, and optimize machine learning and deep learning models for business applications
* Integrate data and AI services from APIs, third-party platforms, cloud services, and internal systems
* Develop robust pipelines for data preparation, feature engineering, model inference, and AI workflow orchestration
* Ensure solution quality through testing, monitoring, validation, performance optimization, and responsible AI practices
* Collaborate closely with data engineers, analysts, web application developers, and other stakeholders to understand data needs and ensure data is readily available and accessible
* Document architectures, processes, and implementations, and promote best practices in AI engineering and MLOps
* At least 2 years of experience in machine learning engineering, AI/GenAI engineering, applied ML, or data science
* Degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience
* Strong proficiency in Python for AI/ML development, data science, scripting, and automation.
* Experience with relevant Python libraries and frameworks such as Pandas, NumPy, scikit-learn, PyTorch and/or TensorFlow, as well as ideally FastAPI for API-based integrations.
* Solid knowledge of SQL and PySpark for querying, transforming, and processing data at scale.
* Experience working with Databricks as a central data platform for analytics, data processing, and AI/ML use cases.
* Hands-on experience building LLM-powered applications, including RAG pipelines, agent frameworks, vector databases and evaluation methodologies.
* Production experience on Azure (App Service, Container Apps, Key Vault, Storage, Azure OpenAI / AI Foundry, AI Search) preferred.
* Practical knowledge of Docker and containerization for packaging and deploying AI solutions.
* Experience integrating data and services through APIs, cloud services, and internal enterprise systems.
* Version Control: Proficiency with version control systems like Git.
* Exposure to orchestration and workflow tools such as Airflow, Kafka, or similar technologies is a plus.
* Strong analytical and problem-solving skills
* Ability to explain complex technical concepts to non-technical stakeholders
* Collaborative mindset and experience working in cross-functional teams
* Attention to detail and commitment to data quality
* A modern office in the 11th district is waiting for you to support your creativity with fun community places, cafe rooms, an own cinema and a skybar
* We support you with flexible working hours and home office opportunity
* Competitive salary and wide range of other benefits (cafeteria & bonus) are provided to you
* You can be part of a successful and growing company in the field of technology
* You can learn new languages in small groups, selecting from 7 languages
* We organize leisure time activities (board games, sport activities)
| Origen: | Web de la compañía |
| Publicado: | 08 May 2026 |
| Tipo de oferta: | Empleo |
| Sector: | Conglomerado |
| Idiomas: | Inglés |
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