AI Research Data Engineer @ E-GROUP ICT SOFTWARE Zrt.

2 days ago

Budapest, Czech Republic E-GROUP ICT SOFTWARE Zrt. Full time
  • Master’s or PhD in Computer Science, Data Science, AI, Engineering, or a related field.
  • 3+ years of experience in data engineering with exposure to AI-driven projects.
  • Strong programming skills in Python (Java or C# is a plus).
  • Experience with real-time streaming technologies (e.g., Apache Kafka, Spark Streaming, Flink).
  • Proficiency in SQL and NoSQL databases.
  • Hands-on experience with knowledge graph databases (e.g., Neo4j, RDF, GraphQL).
  • Expertise in data modeling, schema design, and knowledge graph structures.
  • Experience working with cloud-based data engineering platforms (AWS, Azure, Google Cloud).
  • Strong knowledge of big data processing frameworks and orchestration tools (e.g., Apache Airflow).
  • Familiarity with deploying ML models into production environments.
  • Strong problem-solving and analytical skills for complex AI/ML-driven challenges.
  • Ability to work effectively in cross-functional research teams.
  • Excellent written and verbal communication skills for conveying AI and data engineering concepts.

Preferred

  • Experience with predictive maintenance models and AI-driven anomaly detection.
  • Strong understanding of graph neural networks and semantic AI technologies.
  • Hands-on experience integrating AI models with edge computing environments.
  • Experience with deploying AI/ML models in cloud-based environments.

We are a rapidly growing high-tech software company based in Budapest, specializing in artificial intelligence (AI), big data, and advanced technology solutions. Our work involves developing cutting-edge AI-driven systems in collaboration with European and global partners, including leading research institutions and space agencies.

We are seeking a highly skilled AI Research Data Engineer to support a pioneering project in predictive maintenance and AI-assisted monitoring. This role involves building and optimizing AI-ready data infrastructure, enabling machine learning (ML) and knowledge graph-based models to power next-generation AI applications.

As an AI Research Data Engineer, you will play a critical role in designing and implementing scalable, high-performance data pipelines that support AI-driven research and development projects. Your work will enable real-time data processing, predictive analytics, and intelligent automation in a collaborative R&D environment.

You will be involved in a high-impact AI project, contributing to the development of a federated AI systems. Your expertise in data engineering, knowledge graphs, and ML model deployment will be essential in transforming research concepts into production-ready AI solutions.

What We Offer
  • Competitive salary in a fast-growing AI research and technology company.
  • Opportunities to work on groundbreaking AI research in collaboration with global partners.
  • A highly skilled, research-driven team working on cutting-edge AI technologies.
  • Professional development opportunities, including access to leading AI research networks.
  • Flexible work environment fostering innovation and independent thinking.
  • Access to advanced computing resources for AI/ML experimentation.
  • Life and accident insurance coverage.
  • A modern, innovation-focused office in Buda, offering an inspiring workplace.
,[Design and develop scalable AI-ready data pipelines for structured and unstructured data., Optimize data infrastructure to support machine learning models in real-time environments., Build knowledge graph-based data architectures for advanced AI applications., Develop solutions for real-time data ingestion, transformation, and storage., Ensure data integrity, consistency, and compliance with industry standards., Implement data validation, monitoring, and governance mechanisms., Collaborate with data scientists and professional AI researchers to design efficient ML pipelines., Support AI-driven research projects in several industry sectors e.g. healthcare, space exploration, and financial technology., Work with cloud-based big data platforms (AWS, Azure, Google Cloud) to develop scalable solutions., Optimize AI/ML model deployment pipelines to enhance research-to-production transition., Stay at the forefront of data engineering innovations in AI research and industrial applications.] Requirements: Data engineering, Machine learning, AI, Python, Real-time streaming technologies, SQL, NoSQL, Graph databases, Data modeling, Schema design, Big Data, Orchestration tools, PyTorch, GPU, AWS, Java, C#, Predictive maintenance models, Anomaly detection, Graph neural networks, Semantic AI technologies, Spark, Scala, R, Airflow, AI pipeline Additionally: Magánegészségügyi ellátás, Csoportos élet- és balesetbiztosítás, International projects, Külföldi konferenciák, Flat structure, Expert team, Barátságos csapat, Ingyenes kávé, tea, snack, Free parking, Mobiltelefon, Bike parking, Shower, Pihenő zóna, Startup atmosphere, Modern budai iroda, No dress code.

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