AI Data Engineer
Ukraina, Lesser Poland Voivodeship, Poland
PLN 94K-168K (estimate) Mid-level Full Time
Tasks
- Build pipelines for ML models LLM applications and AI workflows
- Build scalable data pipelines
- Collaborate with Product Data Science ML AI and DevOps teams
- Design data models for analytics ML and AI
- Drive adoption of AI tools and agentic workflows
- Ensure data quality, observability, and reliability
- Improve engineering efficiency with AI
- Maintain data pipelines
- Prototype AI assisted development practices
- Share AI experimentation knowledge
Perks/Benefits
- AI focused community or guild
- Collaborative cross-functional team
- Leadership support
- Opportunity for experimentation
Skills/Tech-stack
AI Agent | AI Agent Frameworks | Agent Frameworks | Apache Airflow | Apache Kafka | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Event | Azure Event Hubs | Azure Synapse | Azure Synapse Analytics | Cloud Computing | DBT | Data Factory | Data Lake Storage | Data Modeling | Data Quality | Data Warehousing | Data orchestration | Databricks | Drift Detection | ELT | ETL | Embeddings | Event Hubs | Faiss | Great Expectations | LLM Applications | LLM Evaluation | Langchain | Language Models | Large Language Models | Llamaindex | Observability | PGVector | Performance optimization | PySpark | Python | RAG | Reliability Engineering | Reranking | SQL | Soda | Synapse Analytics | Synthetic data | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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