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Senior AI Developer (Python)

SquareOne

+5 więcej
21840 - 25200 PLN
B2B
🐍 Python
💼 B2B

Must have

  • Cloud computing

  • AI

  • Use cases

  • Kubernetes

  • DevOps

  • CI/CD Pipelines

  • Testing

  • GDPR

  • Azure

  • Python

  • Degree

  • Machine learning

  • NLP

  • Cloud

  • Microservices

  • English

Nice to have

  • German

Requirements description

  • Degree in Computer Science, Data Science, Artificial Intelligence, or a related field or adequate experience.
  • Several years of experience in AI and Machine Learning development, ideally in Customer Care solutions.
  • Strong proficiency in Python and NLP frameworks.
  • Hands-on experience with Azure AI services (e.g., Azure Machine Learning, Cognitive Services, Bot Services).
  • Solid understanding of cloud architectures and microservices on Azure.
  • Experience with CI/CD pipelines and MLOps.
  • Analytical mindset and problem-solving capabilities.
  • English Level: B2
  • Other Languages: nice to have German
  • On-call duty once a week per month

Offer description

Customer Description Leading German company, stands at the forefront of the telecommunications and IT services industry, specializing in cutting-edge solutions such as web hosting, cloud computing, and internet services. Currently, in order to expand their capabilities, Client is opening an European Technology Center in Poland

Your responsibilities

  1. Design, develop, and integrate AI/ML solutions, with a focus on Generative AI (GenAI), LLMs, and multi-modal (chat, voice) interfaces.
  2. Architect and deliver customer-facing AI agents that provide real-time, intelligent automation for support, marketing, or transactional use cases.
  3. Build and maintain multi-model pipelines for inference, fine-tuning, chunking, and embedding-based retrieval (RAG) systems.
  4. Deploy, monitor, and optimize AI models in production-grade environments using Kubernetes and Azure-native services.
  5. Integrate GenAI agents with cross-company APIs, backend services, and partner systems through MCP for dynamic tool use and data enrichment.
  6. Collaborate closely with DevOps engineers to implement scalable CI/CD pipelines, infrastructure-as-code, and secure AI workload automation.

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Wyświetlenia: 9
Opublikowana20 dni temu
Wygasaza 24 dni
Rodzaj umowyB2B
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