AI Engineer

Stack

Responsibilities

• ▹Develop and operationalise solutions across classical AI/ML/DL and generative AI use cases
• ▹Build, evaluate and optimise 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 optimisation 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

Requirements

• ▹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
• ▹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
• ▹Practical knowledge of Docker and containerisation for packaging and deploying AI solutions
• ▹Experience integrating data and services through APIs, cloud services and internal enterprise systems
• ▹Proficiency with version control systems such as Git

Nice to have

• ▹Ideally FastAPI for API-based integrations
• ▹Production experience on Azure (App Service, Container Apps, Key Vault, Storage, Azure OpenAI / AI Foundry, AI Search) preferred
• ▹Exposure to orchestration and workflow tools such as Airflow, Kafka or similar technologies is a plus

Soft skills

What we offer

• ▹Modern office in the 11th district with community spaces, cafe rooms, an own cinema and a skybar
• ▹Flexible working hours and home office opportunity
• ▹Competitive salary and a wide range of other benefits (cafeteria and bonus)
• ▹Being part of a successful and growing technology company
• ▹Language learning in small groups, choosing from 7 languages
• ▹Organised leisure time activities (board games, sport activities)

About the company

thyssenkrupp is an international industrial and technology group with around 98,000 employees; in fiscal year 2023/2024 it generated sales of 35 billion in 47 countries. Its business is organised into five segments: Automotive Technology, Decarbon Technologies, Materials Services, Steel Europe and Marine Systems. Its Hungarian development centre runs a 1,000-strong engineering team working on electromechanical steering systems, and its developments can be found in 25% of the cars manufactured worldwide.