ai engineer for algorithmic products

Procter & Gamble is a manufacturing company with Data Science and AI Engineering teams that develop, integrate, and scale algorithmic products and maintain an ecosystem of reusable code components.

• Collaborate with data scientists, data managers, analysts, infrastructure engineers, and peer AI Engineers to develop, integrate, and scale algorithmic products;
• Evaluate new models and technologies through proofs of concept and experiments;
• Develop high-quality, standard-compliant, and tested code, and refactor it as necessary;
• Contribute code and tools to central reusable libraries and repositories;
• Design data models, model features, data quality tests, ETL/ELT pipelines, and distributed compute architectures;
• Deploy algorithmic products across cloud platforms using cloud-native services;
• Implement Infrastructure as Code to manage and automate cloud resources;
• Apply DevOps, DataOps, and MLOps principles, including developing continuous integration, delivery, and training pipelines;
• Use observability and automation tools to manage operations of algorithmic products across the technology stack;
• Participate in strategic efforts to build and maintain P&G's ecosystem of reusable code components;
• Contribute code to open-source projects in accordance with P&G IT policies.

• Experience with Python and Agentic Coding / AI assisted programming;
• Familiarity with AI and ML concepts and frameworks;
• Experience in data engineering, data science, and machine learning operations;
• Proven understanding of designing efficient, robust, and automated pipelines for big data and ML training and inference;
• Strong background in CI/CD pipelines such as GitHub Actions;
• Familiarity with operating on and deploying to a cloud environment;
• Nice to have: Experience with GCP.

• Competitive salary and benefits program, including private health care, life insurance, P&G stock options, saving plans, lunch subsidy, sports cards, and an in-office fitness center;
• Industry certifications, including DevOps, Professional Scrum Master, Azure Fundamental, and SAFe Agilist;
• Internal coaching programs and training;
• Flexible working arrangements;
• Long-term career development and growth opportunities;
• Employment is exclusively offered under an “Umowa o Pracę” full-time employment contract.