Data Scientist - AI Engineer
Offer summary

(Summary generated by AI based on the full job description)

The project focuses on delivering AI-powered customer-facing solutions using Python, NLP, transformer-based models, and AWS (SageMaker, MWAA, Athena). Responsibilities include designing and deploying end-to-end ML systems, developing AI agents, analyzing customer feedback, and building CX prediction models. Key tasks involve collaboration and supporting production and maintenance of ML solutions with MLOps practices. The offer includes private medical care.

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Data Scientist - AI Engineer

Company: SQUARE ONE RESOURCES sp. z o.o.

from: 26 June 2026
to: 26 July 2026
salary not specifiedB2B contract
Offer parameters
level:senior • expert
working mode:remote
location:Warszawa, Masovian
Warszawa, Masovian

Requirements

Expected technologies

Python
NLP
HuggingFace Transformers
AWS
Amazon SageMaker
Amazon MWAA
Amazon Athena
scikit-learn
Docker

Our requirements

  • Strong Python programming skills, including production-grade development.
  • Hands-on experience building and deploying end-to-end ML systems.
  • Practical experience with Machine Learning projects in commercial environments.
  • Experience developing AI agents or intelligent customer-facing applications.
  • Strong knowledge of NLP and transformer-based architectures (e.g. HuggingFace).
  • Experience working with customer feedback analysis and CX prediction models.
  • Good knowledge of AWS services, especially Amazon SageMaker, Amazon MWAA, and Amazon Athena.
  • Experience with scikit-learn and other ML frameworks.
  • Experience with Docker and ML deployment workflows.
  • Excellent communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders.

Optional

  • Experience working in cloud-native AI environments.
  • Knowledge of MLOps best practices.
  • Experience delivering AI solutions at scale.

Your responsibilities

  • Design, build, and deploy end-to-end Machine Learning solutions, from experimentation to production.
  • Develop AI agents for customer-facing use cases.
  • Experiment with various ML techniques to identify the most effective approach for different business problems.
  • Design and implement NLP solutions, including transformer-based models.
  • Analyze customer feedback data and build Customer Experience (CX) prediction models.
  • Collaborate with cross-functional teams to translate business requirements into scalable AI solutions.
  • Support production deployment and maintenance of ML models using modern MLOps practices.

About the project

Delivering AI-powered, customer-facing solutions.
Design, develop, and deploy end-to-end machine learning and NLP systems.
Creating impactful AI products by working closely with both technical and business stakeholders.

This is how we organize our work

This is how we work

at the client's site
Company

Benefits

  • private medical care

SQUARE ONE RESOURCES sp. z o.o.

At Square One Poland we link IT experts with the business. With over 25 years of experience, we specialize in recruitment processes on a global scale. Despite years of experience, we still have a startup DNA and this is our advantage. Our offices are located in London and Warsaw, however, we can reach clients from all over the world, from start-ups to big worldwide corporations.

This is how we work

Data Scientist - AI Engineer
I apply to:
SQUARE ONE RESOURCES sp. z o.o.
Warszawa, Masovian

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