AI Engineer

Overview

Job Location: Warsaw

AI Engineer at P&G partners with data scientists, data managers, analysts, infrastructure engineers, and peer AI Engineers to develop, operationalize, integrate, and scale new algorithmic products. Engages in proof-of-concepts and experiments to evaluate new models and technologies. Develops high-quality, standard-compliant, and tested code. Refactors the code of others as necessary. Contributes code and tools to central re-usable libraries and repositories.

Responsibilities

• Develop data models, model features, data quality tests, ETL/ELT pipelines, and distributed compute architectures.
• Deploy algorithmic products across the clouds, leveraging cloud-native services.
• Manage and automate cloud resources (Infrastructure as Code).
• Implement DevOps, DataOps and MLOps principles in day-to-day work.
• Develop continuous integration, delivery, and training pipelines.
• Leverage observability and automation tools to manage operations of algorithmic products across the stack.
• Refactor and contribute code and tools to central libraries and repositories as needed.
• Collaborate with data scientists, data managers, analysts, and engineers to scale new solutions.

Qualifications

• Demonstrated skills in applied Big Data technologies; Python for manipulating data; SQL; Linux shell scripting.
• Experience in Agile, CI/CD and DevOps methodologies; familiarity with tools such as Jira, GitHub Actions, SonarQube.
• Design and code advanced ELT and analytic applications operating on medium/high data volumes.
• Design/build database/data warehouse solutions to support BI processes.
• Cloud services frameworks, Azure and/or GCP.
• Nice to have practical experience in AI/ML technologies and practices, including MLOps.
• Conversant knowledge of emerging data and AI technologies and trends; building ML/AI solutions to support data engineering and operations teams (self-healing systems, outage prevention, data quality).
• Familiarity with containerization technologies (Docker, Kubernetes); Big Data technologies (Hive, Impala) and NoSQL databases.
• Strong written and verbal English communication skills; ability to influence others.
• Demonstrated use of data and BI tools; ability to handle multiple priorities; ability to work collaboratively across functions and organize work.

What we offer

• Responsibilities as of day 1 with project ownership and autonomy.
• Dynamic and encouraging work environment; focus on agility and work-life balance.
• Continuous mentoring and coaching from line manager and colleagues; corporate and functional training.
• Industry certifications (ITIL, DevOps, MS portfolio, etc.); private health care; stock options; saving plans; lunch subsidy; regular salary increases and potential promotions.
• Flexible work arrangements; mentoring programs and trainings.
• Big picture understanding of P&G IT and Product Supply in global multi-functional teams with several locations across continents.

Note: At Procter & Gamble, employment is exclusively extended on the basis of a full-time contract (Umowa o Pracę). Apply only if you agree to these conditions. This role is framed within a hybrid work model combining remote and in-office engagement.

Job Schedule: Full time | Job Number: R000132255 | Job Segmentation: Experienced Professionals