Ai Research Data Engineer @ E-group Ict Software Zrt.

2 weeks ago

Budapest, Hungary E-GROUP ICT SOFTWARE Zrt. Full time

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.


Master’s or Ph D  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 No SQL databases.


Hands-on experience with  knowledge graph databases  (e.g.,  Neo4j, RDF, Graph QL ).


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, No SQL, Graph databases, Data modeling, Schema design, Big Data, Orchestration tools, Py Torch, 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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