Sales Lead

About Us 

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. 

Job Type: Full-time 

The Role

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

Key Responsibilities 

  • 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. 

Qualifications & Skills 

Required:

  • 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

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. 

Why Join Us? 

  • Work on state-of-the-art AI projects in predictive analytics, knowledge graphs, and big data processing
  • Join a dynamic, research-driven environment where your work contributes to AI advancements
  • Continuous learning and professional development through conferences, workshops, and training
  • Job stability with financial security in a company that values and invests in its employees
  • Autonomy and creative freedom—we empower engineers to take ownership of research initiatives
  • A supportive and collaborative research team dedicated to advancing AI-driven solutions for global solutions

How to Apply? 

Please send your CV (with a photo) and a motivation letter, including your salary expectations, to hr@egroup.hu

We look forward to welcoming you to our team!

Share this job
This site is registered on wpml.org as a development site.