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Senior Python Engineer with AI Exposure

DataArt Poland sp. z o.o.PolskaPolska

Źródło:TheProtocol.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano17 września 2026
Wykryte przez nas
Wykryte przez nas18 września 2026
Zarobki
Zarobki16 000 - 17 500 PLN

DataArt Poland is seeking a Senior Python Engineer to join a transformative project for a UK financial services group. You will play a pivotal role in rebuilding data and analytics capabilities, focusing on the development of advanced machine learning and generative AI solutions within a highly regulated environment.

Key responsibilities

  • Design, build, and deploy machine learning and generative AI models, including LLMs, transformers, and RAG pipelines.
  • Develop scalable AI services and microservices using Python, REST APIs, and cloud-native technologies.
  • Build and maintain data pipelines for training, validation, and inference while collaborating on data governance.
  • Implement CI/CD pipelines for MLOps workflows and ensure model performance through monitoring and retraining strategies.
  • Translate complex business requirements into technical solutions by working closely with product and engineering teams.

Requirements

  • Strong proficiency in Python, including libraries such as NumPy, Pandas, PyTorch, and TensorFlow.
  • Hands-on experience with LLMs, vector databases, and agentic AI frameworks like LangChain or LangGraph.
  • Solid understanding of cloud platforms including AWS, Azure, or GCP and serverless computing.
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Familiarity with MLOps tools and machine learning lifecycle management.

What we offer

  • Opportunity to influence technological solutions and product development in an agile environment.
  • Collaboration with a diverse team of backend developers, data scientists, and product owners.
  • Engagement in a large-scale platform modernization program for a major financial services client.
  • Professional growth through code reviews, test automation, and continuous integration practices.

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