Állás részletei

  • Cég neve

    thyssenkrupp Components Technology Hungary Kft.

  • Munkavégzés helye

    Budapest
  • Elvárások

    • Angol felsőfok
    • 1-3 év tapasztalat
    • Egyetem
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Állás leírása

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  • 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

  • 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 practical experience
  • Strong Python skills for AI/ML development, automation, and data processing
  • Experience with Pandas, NumPy, scikit-learn, PyTorch and/or TensorFlow; FastAPI is a plus
  • Solid SQL and PySpark knowledge for large-scale data processing
  • Hands-on experience with Databricks for analytics and AI/ML workloads
  • Experience building LLM applications, including RAG, agent frameworks, vector databases, and model evaluation
  • Experience with Azure services (App Service, Container Apps, Key Vault, Storage, Azure OpenAI/AI Foundry, AI Search) preferred
  • Practical Docker and containerization experience
  • Experience integrating APIs, cloud services, and enterprise systems
  • Proficiency with Git and version control
  • Exposure to Airflow, Kafka, or similar orchestration tools is a plus
  • Strong analytical, problem-solving, and communication skills
  • Ability to explain technical concepts to non-technical stakeholders
  • Collaborative mindset, cross-functional teamwork, and strong attention to data quality

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.

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