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Job Location
Warsaw
Job Description
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. Develops data models, model features, data quality tests, ETL/ELT pipelines, and distributed compute architectures. Deploys algorithmic products across the clouds, skillfully leveraging cloud-native services. Manages and automates cloud resources (IaC). Implements DevOps, DataOps and MLOps principles in day-to-day work. Develops continuous integration, delivery, and training pipelines. Leverages observability and automation tools to manage operations of algorithmic products across the stack.
Job Qualifications
Kindly be advised that at P&G, employment is exclusively extended on the basis of "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.
Job Schedule
Full time
Job Number
R000132255
Job Segmentation
Experienced Professionals (Job Segmentation)
Warsaw
Job Description
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. Develops data models, model features, data quality tests, ETL/ELT pipelines, and distributed compute architectures. Deploys algorithmic products across the clouds, skillfully leveraging cloud-native services. Manages and automates cloud resources (IaC). Implements DevOps, DataOps and MLOps principles in day-to-day work. Develops continuous integration, delivery, and training pipelines. Leverages observability and automation tools to manage operations of algorithmic products across the stack.
Job Qualifications
- Demonstrated skills in applied Big Data technologies
- Python language for manipulating data
- SQL, Linux Shell Scripting
- Experience in Agile, CI/CD and DevOps methodologies – knowledge of using appropriate tools – e.g. Jira, GitHub Actions, Sonarqube
- Create (design/code) advanced ELT and analytic applications operating on medium/high volume of data
- Design/build database/data warehouse solutions to support BI processes.
- Cloud services frameworks, Azure and/or GCP
- Practical experience in AI/ML technologies and practices, including MLOps
- Conversant knowledge of emerging data and AI technologies and trends
- Build ML/AI solutions to support the Data Engineering and operations team in self-healing systems, outage prevention, or data quality
- Familiarity with containerization technology and tools (e.g., Docker, Kubernetes)
- Big Data technologies (Hive, Impala) and NoSQL databases
- Strong written and verbal English communication skills to influence others
- Demonstrated use of data and BI tools
- Ability to handle multiple priorities
- Ability to work collaboratively across functions and organize work
- Responsibilities as of day 1. You will have project ownership and autonomy to deliver change and results from the beginning
- Dynamic and encouraging work environment. At P&G our employees are at the core, we value every individual and encourage initiatives, promoting agility and work/life balance
- Continuous mentoring, you will work with hardworking people and receive ongoing coaching and mentoring from your line manager and other colleagues. Corporate and functional training will enable you to succeed and develop from day one
- Industry Certifications (ITIL, DevOps, MS portfolio etc), full additional benefit program like private health care, P&G Dynamic Living programs like sport cards, in-office fitness center, PG stock options, saving plans, lunch subsidy, regular salary increases and possible promotions, flexible work arrangements, mentoring programs & trainings
- Big Picture understanding of P&G IT and Product Supply organization and its Services in global multi-functional teams with several locations across continents
Kindly be advised that at P&G, employment is exclusively extended on the basis of "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.
Job Schedule
Full time
Job Number
R000132255
Job Segmentation
Experienced Professionals (Job Segmentation)
Key Skills
Ranked by relevance
devops
cloud
ai
continuous integration
containerization
big data
docker
nosql
linux
mlops
itil
cicd
jira
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- Posted
- Aug 14, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Warsaw
- Company
- Procter & Gamble
Industries
Manufacturing
Categories
Project Management
Design
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Software Engineer - One Digital Warehouse
2026-05-16
Full-time
Not Applicable
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Manufacturing
Project Management
View Job Details
Related
Data Project Manager, HR Domain
2026-05-18
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France
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Other
View Job Details
Related
Digital Architect
2026-05-28
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Design