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Job Information

Procter & Gamble Senior AI Engineer in United States

Job Location

WARSAW DOWNTOWN OFFICE

Job Description

We are looking for a passionate Senior AI Engineer who is eager to make an impact on their career and take on a new challenge!

With us, you will

  • Collaborate with cross-functional teams: Partner with data scientists, data managers, analysts, infrastructure engineers, and peer AI Engineers to develop, integrate, and scale new algorithmic products

  • Evaluate new models and technology: Engage in proof of concepts and experiments to assess the efficiency of new models and technologies

  • Ensure code quality: Develop high-quality, standard-compliant, and tested code, and refactor code as necessary

  • Contribute to code and tool libraries: Contribute code and tools to central re-usable libraries and repositories for enhanced efficiency and collaboration

  • Develop data models and pipelines: Design data models, model features, data quality tests, ETL/ELT pipelines, and distributed compute architectures

  • Deploy algorithmic products: Deploy algorithmic products across cloud platforms, leveraging cloud-native services effectively

  • Manage and automate cloud resources: Implement Infrastructure as Code (IaC) to manage and automate cloud resources efficiently

  • Implement best practices: Apply DevOps, DataOps, and MLOps principles in day-to-day work, including developing continuous integration, delivery, and training pipelines

  • Ensure operational efficiency: Utilize observability and automation tools to manage operations of algorithmic products across the technology stack

  • Contribute to P&G's ecosystem: Participate in strategic efforts to build and maintain P&G's ecosystem of reusable code components, and contribute code to open-source projects following P&G IT policies

Job Qualifications

  • Experience with Python

  • Familiarity with AI and ML concepts and frameworks

  • Experience in data engineering, data science, machine learning operations

  • Proven understanding of designing efficient, robust, and automated pipelines for big data

  • Strong background in CI/CD pipelines (such as GitHub Actions)

  • Familiarity in operating on, and deploying to a cloud environment (such as Azure, or Google Cloud Platform)

What we offer

  • Work in an international team with global responsibilities (and Data Science & AI Engineering teams co-located in Warsaw)

  • Industry Certifications (e.g. DevOps, Professional Scrum Master, Azure Fundamental, SAFe Agilist and many others)

  • Competitive salary and benefits program (private health care, life insurance, P&G stock options, saving plans, lunch subsidy, sports cards, in-office fitness center)

  • Internal coaching programs & training

  • Flexible working arrangements

  • A long-term career with development and growth opportunities

Who we are

Information Technology (IT) at Procter & Gamble is where business, innovation, and technology integrate to create a competitive advantage for P&G. Our mission is clear - we deliver IT to help P&G win with the over 5 billion consumers we serve worldwide. Our IT professionals are diverse business leaders who apply IT mastery to deliver game-changing, technology-driven business models and capabilities for our 65 iconic, trusted brands.

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

R000108484

Job Segmentation

Experienced Professionals (Job Segmentation)

P&G was founded over 180 years ago as a simple soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We’ve spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship.

The insight, innovation and passion of talented teams has helped us grow into a global company that is governed responsibly and ethically, that is open and transparent, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.

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