AI Engineer

10 hours ago


Poznań Kraków Warszawa Łódź Wrocław, Czech Republic GFT Poland Full time

Your skills:

  • At least 2 - 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

Nice to have:

  • Data Engineering background
  • Understanding of key concepts around Data Warehousing, Data Lakes and Data Lakehouses
  • Experience with Data Visualization

Why join GFT?

You will work with and learn from top IT experts. You will join a crew of experienced engineers: 60% of our employees are senior level.

Interested in the cloud? You will enjoy our full support in developing your skills: training programs, certifications and our internal community of experts. We have strong partnerships with top cloud providers: Google, Amazon and Microsoft - we are number one in Poland in numbers of GCP certificates. Apart from GCP, you can also develop in AWS or Azure.

We are focused on development and knowledge sharing. Internal expert communities provide a comfortable environment where you can develop your skillset in areas such as blockchain, Big Data, cloud computing or artificial intelligence.  

You will work in a stable company (32 years on the market) in demanding and challenging projects for the biggest financial institutions in the world.

We offer you:

  • Contract of employment or B2B contract
  • Hybrid work - 2 office days per week
  • Working in a highly experienced and dedicated team
  • Competitive salary and extra 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
  • On-line foreign language lessons
  • Social events
  • Access to e-learning platforms
  • Ergonomic and functional working space
,[ Design, build, test and deploy Cloud and on-premise Data analytics services, Be a 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: Python, SQL, Spark, PySpark, Data modelling, AI, Machine learning, Data science, LLM, GenAI, Data engineering, Data visualization, Data Lake, data lakehouses, GCP, Azure, AWS Additionally: Home office, Knowledge sharing, Life insurance, Sport subscription, Training budget, Private healthcare, International projects, Integration events, English lessons, Free coffee, Playroom, Free snacks, Free beverages, In-house trainings, In-house hack days, Modern office, Free fruits.

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