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.
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.
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.
Experience working in cloud-native AI environments.
Knowledge of MLOps best practices.
Experience delivering AI solutions at scale.
Benefity
Prywatna opieka medyczna
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Klauzula informacyjna
Informujemy, że administratorem danych jest Square One Resources Sp. z o.o. z siedzibą w Warszawa ul. Puławska 2 (dalej jako "administrator"). Masz prawo do żądania dostępu do swoich danych osobowych, ich sprostowania, usunięcia lub ograniczenia przetwarzania, prawo do wniesienia sprzeciwu wobec przetwarzania, a także prawo do przenoszenia danych oraz wniesienia skargi do organu nadzorczego. Dane osobowe przetwarzane będą w celu realizacji procesu rekrutacji. Dane osobowe będą przetwarzane do czasu zakończenia postępowania rekrutacyjnego i przez okres możliwości dochodzenia ewentualnych roszczeń. Zgoda na przetwarzanie danych osobowych może zostać wycofana w dowolnym momencie.