GFT Technologies

Data Science / AI Engineer

GFT Technologies

full-time

Posted on:

Location Type: Hybrid

Location: Kraków • 🇵🇱 Poland

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Salary

💰 PLN 12,800 - PLN 20,600 per month

Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPySparkPythonSparkSQL

About the role

  • Design, build, test and deploy Cloud and on-premise Data analytics services
  • Be an go to person for AI related questions
  • Model development and operationalization
  • Analytics Consultancy
  • Collaboration with other project teams
  • Be a Data engineer when needed

Requirements

  • At least 3 years of commercial experience as an AI Engineer or Data Scientist
  • Knowledge of machine learning model development and evaluation methods
  • Experience with large language models (LLM), embeddings and GenAI models
  • Strong Python data science and machine learning stack
  • Experience in AI/ML tools in any major cloud platform (GCP, Azure or AWS)
  • Strong SQL and Spark/PySpark
  • Strong Data Engineering Skills
  • Nice to have Data Engineering background
  • Understanding of key concepts around Data Warehousing, Data Lakes and Data Lakehouses
  • Experience with Data Visualization
Benefits
  • Contract of employment
  • Hybrid work in one of our locations: Lodz, Poznan, Krakow, Warszawa, Wroclaw (2 office days per week)
  • Working in a highly experienced and dedicated team
  • Benefit package that can be tailored to your personal needs (private medical coverage, sport & recreation package, lunch subsidy, life insurance, etc.)
  • On-line training and certifications fit for career path
  • Access to e-learning platform Mindgram - a holistic mental health and wellbeing platform
  • Work From Anywhere (WFA) - the temporary option to work remotely outside of Poland for up to 140 days per year (including Italy, Spain, the UK, Germany, Portugal, and Bulgaria)
  • Social events

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningmodel developmentmodel evaluationPythonSQLSparkPySparkData EngineeringData Visualizationlarge language models
Soft skills
collaborationconsultancy