Role overview

[CMI] Cloud AI Engineer

Requirements and responsibilities

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Position – how you’ll contribute

  • Creating and implementing solutions based on AI
  • Prompt engineering
  • Constant learning and implementation of new AI solutions

Expectations – the experience you need

  • Experience in data analysis and engineering in Python
  • Knowledge of Python
  • Knowledge of frameworks such as Pandas/Spark/dbt/dask
  • Experience in building ETL processes
  • Experience working with public cloud (Azure, AWS, GCP)
  • Experience in building and implementing cloud-based applications
  • Ability to design and build applications based on machine learning models

Additional skills – the edge you have

  • Experience in prompt engineering
  • Knowledge of frameworks such as Langchain/LlamaIndex
  • Knowledge of MLOps tools
  • Experience with various types of databases
  • Ability to speak and write in English
  • Good communication with the team and clients (Soft skills)

Additional skills – the edge you have

  • Flexible employment and remote work
  • International projects with leading global clients
  • International business trips
  • Non-corporate atmosphere
  • Language classes
  • Internal & external training
  • Private healthcare and insurance
  • Multisport card
  • Well-being initiatives
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Browse stack
FocusCloud EngineeringRole area
Seniority signalSeniorCandidate level
StackAWS, Azure, GCPPrimary skills
Location1 accepted countryEligibility

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