AI Engineer (Python, LLMs)

AI Engineer (Python, LLMs)

Addepto

Katowice
Gdańsk
Warszawa
Kraków
Poznań
Wrocław
Białystok
Wrocław, Lower Silesia
Białystok, Podlaskie
Warszawa, Masovian
Poznań, Greater Poland
Katowice, Silesian
Kraków, Lesser Poland
Gdańsk, Pomeranian
Python
OOP design
Large Language Models (LLMs)
Generative AI
FastAPI
SQL/NoSQL
Docker
Git
CI/CD
Data Science
Machine Learning

Hexjobs Insights

Poszukiwany Inżynier AI (Python, LLMs) z min. 3-letnim doświadczeniem. Obowiązki: rozwój systemów AI, wsparcie w przekształcaniu prototypów Data Science, tworzenie komponentów backendowych.

Słowa kluczowe

Python
OOP design
Large Language Models (LLMs)
Generative AI
FastAPI
SQL/NoSQL
Docker
Git
CI/CD
Data Science
Machine Learning

Benefity

  • Reimbursement for prescription glasses or contact lenses
  • Costs sharing for sports activities
  • Private medical care
  • Costs sharing for foreign language classes
  • Costs sharing for professional training & courses
  • Remote work opportunities
  • Flexible working time
  • Integration events
  • No dress code
  • Video games at work
  • Coffee / tea, drinks
  • Christmas gifts
  • Birthday celebration
  • Employee referral program
  • Charity initiatives

Wymagania

At least 3+ years of commercial experience in software engineering with Python., Strong programming skills in Python: writing a clean code, OOP design., Hands-on experience with LLMs (Large Language Models) and Generative AI., A solid understanding of software design principles., Experience with backend frameworks (e.g., FastAPI) and databases (SQL/NoSQL)., Familiarity with Docker, Git, and basic CI/CD concepts., Practical experience working in a cloud environment (AWS, GCP, Azure)., A personal project or practical experience with frontend frameworks (e.g., React, Node.js, Nest.js, Typescript)., Practical experience and strong interest in Data Science and Machine Learning., Curiosity about the latest trends in GenAI, including Intelligent Document Processing, Embeddings, Vector Databases and OpenSource LLMs.

Benefity

Reimbursement for prescription glasses or contact lenses, sharing the costs of sports activities, private medical care, sharing the costs of foreign language classes, sharing the costs of professional training & courses, remote work opportunities, flexible working time, fruits, integration events, no dress code, video games at work, coffee / tea, drinks, christmas gifts, birthday celebration, employee referral program, charity initiatives

Wyświetlenia: 1
Opublikowana17 dni temu
Wygasaza 14 dni
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