PayU

Machine Learning Engineer

PayU

full-time

Posted on:

Location Type: Hybrid

Location: Poznań • Poland

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Tech Stack

AirflowAWSBigQueryCloudDockerEC2PythonPyTorchScikit-LearnSQLTensorflowTerraform

About the role

  • Develop, implement, and validate Machine Learning solutions, ensuring alignment with project objectives.
  • Design AI solution architectures that meet complex business goals and drive innovation.
  • Research, test, and select the best tools and technologies as well as AI solutions to meet business requirements.
  • Understand clients' and internal stakeholders' needs and translate business problems into data science problems.
  • Oversee the implementation of data pipelines and workflows using Airflow and dbt within Snowflake/BigQuery.
  • Coordinate with Data Engineering and Software Engineering teams to strategize and oversee the building of AI applications.
  • Present findings and recommendations clearly and concisely to stakeholders.
  • Prioritize and control tasks within an Agile/Scrum framework, ensuring timely delivery.

Requirements

  • Proven commercial experience designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, LLM usage).
  • Proficiency in developing ML algorithms from scratch to production deployment.
  • Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch / Tensorflow).
  • Proven expertise in deploying solutions in cloud environments (AWS - Fargate, EC2).
  • Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG).
  • Working experience in SQL and databases (Snowflake, BigQuery).
  • Good knowledge of CI/CD principles (GitLab, GitHub).
  • Familiarity with MLOps practices (MLflow) and containerization (Docker).
  • Bachelor’s or Master's degree in Computer Science, Data Science, Mathematics, Physics, or a related field.
  • Experience with Terraform is a nice to have.
  • High proficiency in English (C1 level).
  • Excellent communication skills and consulting experience with direct interaction with stakeholders.
Benefits
  • Full-time employment under a contract of employment.
  • Benefits: ability to develop one’s own package in MyBenefit system.
  • Possibility to work in a hybrid model.
  • Friendly work atmosphere in a cooperation-driven team, that will support you everyday.
  • Work in an international organization operating in a rapidly changing industry.
  • Work in an international environment where you work with foreign languages on an everyday basis.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Machine LearningPredictive ModelingOptimizationNatural Language ProcessingLarge Language ModelsPythonSQLCI/CDMLOpsContainerization
Soft Skills
communicationconsultingstakeholder managementtask prioritizationAgileScrum
Certifications
Bachelor's degreeMaster's degree