AI Engineer (Python, LLMs)

AI Engineer (Python, LLMs)

Addepto

Katowice
Gdańsk
Warszawa
Kraków
Wrocław
Poznań
Białystok
Wrocław, Lower Silesia
Białystok, Podlaskie
Warszawa, Masovian
Poznań, Greater Poland
Katowice, Silesian
Kraków, Lesser Poland
Gdańsk, Pomeranian
Python
OOP design
Large Language Models
Generative AI
FastAPI
SQL
NoSQL
Docker
CI/CD
AWS
GCP
Azure
Data Science
Machine Learning
React
Node.js
Typescript

Hexjobs Insights

Zatrudnimy AI Engineer (Python, LLMs) w Krakowie. Obowiązki: rozwój systemów AI, transformacja prototypów Data Science. Wymagania: 3+ lata doświadczenia w Pythonie, LLMs.

Słowa kluczowe

Python
OOP design
Large Language Models
Generative AI
FastAPI
SQL
NoSQL
Docker
CI/CD
AWS
GCP
Azure
Data Science
Machine Learning
React
Node.js
Typescript

Benefity

  • Reimbursement for prescription glasses
  • Cost sharing for sports activities
  • Private medical care
  • Cost sharing for language classes
  • Cost sharing for professional training
  • Remote work opportunities
  • Flexible working time
  • Fruits
  • Integration events
  • No dress code
  • Video games at work
  • Coffee / tea
  • Drinks
  • Christmas gifts
  • Birthday celebrations
  • 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: 2
Opublikowana17 dni temu
Wygasaza 14 dni
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