Job Location
WARSAW DOWNTOWN OFFICEJob Description
We are looking for a passionate 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)
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
At P&G #weseeequal
We are an equal opportunity employer and value diversity at our company. At P&G we strive to build a culture where everyone feels welcome, included, and able to bring their full selves to work.
We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please click here if you require an accommodation during the application process. Please make sure to wait to hear back from us regarding your accommodation before proceeding with the online assessment, we thank you in advance for your patience.
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 timeJob Number
R000146446Job Segmentation
Experienced ProfessionalsStarting Pay / Salary Range
Skills Required
- 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
- Familiarity in operating on, and deploying to a cloud environment (Azure)
Procter & Gamble Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Procter & Gamble and has not been reviewed or approved by Procter & Gamble.
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Healthcare Strength — Health coverage is positioned as comprehensive, spanning medical, dental, and vision offerings alongside life and disability options. Mental-health and practical support are reinforced through an EAP that includes confidential counseling and other advisory services.
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Retirement Support — Retirement support is strengthened through profit sharing and retirement-plan access, creating a longer-term wealth-building component beyond base pay. Stock-related programs (such as share purchase and matching structures) further contribute to perceived retirement and savings value.
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Parental & Family Support — Parental leave is described as generous, including fully paid leave for new parents and additional recovery time for birth mothers. Family-oriented time-off options and caregiving supports add to the sense of comprehensive support across life stages.
Procter & Gamble Insights
What We Do
Procter & Gamble Company is an American multi-national consumer goods corporation. P&G was founded over 180 years ago as a soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands, including Always®, Charmin®, Braun®, Fairy®, Febreze®, Gillette®, Head & Shoulders®, Oral B®, Pantene®, Pampers®, Tide®, and Vicks®. The design, development, growth and success of these products—and many more—is thanks to the innovative and insightful minds of our people. From Day 1, you’ll help make everyday life easier for our 5 billion consumers through billion dollar brands. With our large global footprint, there are many opportunities to work with P&G in multiple locations. We offer opportunities in approximately 70 countries and continually aim to attract, reward and advance the finest people in the world. As a "build from within" organization, we see 95% of our people start at an entry level and progress through the organization. Here, we want you to get your career off to a fast start. That's why we don't have any rotational development programs or gradual ramping-up periods: you’ll be able—and encouraged—to dive right in from day 1. Join us and help make life better through meaningful work that makes an impact from Day 1.
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