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

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

Nice to have

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

You also should have

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

What we offer

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

At Procter & Gamble, we embrace a hybrid work model that combines the flexibility of remote work with the collaborative benefits of in-office engagement. Employees can enjoy the option to work from home two days a week while also spending time in the office to foster teamwork and enhance communication.

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)