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Senior Data Engineer / AI Specialist

Рівень:
senior
Джерело:
djinni.co
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Що робити

  • Design and build ETL/ELT pipelines from heterogeneous enterprise sources (ERP, planning, cost and schedule data, documents, external price indices)
  • Build and maintain the data lake / lakehouse; ensure data quality, modeling and governance
  • Develop agentic AI solutions: multi-agent orchestration, LLM integrations (AWS Bedrock), RAG over unstructured documents such as contracts
  • Build classical ML models, for example forecasting cost at completion from historical data
  • Evaluate AI output quality and reliability (evals, guardrails)

Що очікуємо

  • 5+ years in Data Engineering and/or Applied AI
  • Strong Python and SQL
  • Practical experience with LLM applications: agents, RAG, prompt engineering, vector search, document processing
  • AWS: S3, Bedrock, data services; PostgreSQL
  • Experience with classical ML (regression, time-series forecasting)

Що пропонуємо

  • Databricks (likely platform for ETL and ML on this project), PySpark. Snowflake is also relevant
  • MLOps (model deployment, monitoring)
  • Experience with AI governance and data readiness
  • Domain knowledge of capital projects, cost management or contracts

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