AI Engineer

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.

• 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.