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Procter & Gamble · 14 hours ago

AI Engineer

Procter & Gamble is a leading company seeking an AI Engineer to work on scaling and operationalization of large-scale AI use cases. The role involves collaborating with Data Scientists and Engineers to develop analytical algorithms, optimize solutions, and operationalize Machine Learning models within the organization.

BeautyBrand MarketingCleaning ProductsConsumer GoodsCosmeticsNutritionPersonal Health
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Growth Opportunities
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Responsibilities

Works on advanced analytics use cases together with Data Scientists, Analysts, peer AI Engineers; engages in proof of concepts and experiments together to deliver new analytical algorithms and applications
Prepares data models and feature quality checks, optimizes analytical solutions at scale, prepares ETL pipelines, and distributed compute architectures
Participates in strategic effort to build and maintain P&G ecosystem of reusable code components through validating code quality, leading development & integration process and making crucial decisions on distribution strategy
Provides development governance, direction and consultations to business and engineering teams
Cooperates with the Data Science, Data Management, Platform and InfoSecurity teams on end-to-end AI and advanced analytics solutions
Influences stakeholders across the organization (decision makers, IT project teams, business partners, vendors) to promote the established software development direction
Deploys solutions in multi-cloud environments and services – in Azure (e.g., Databricks, Azure ML, AKS, ADF) and/or in GCP (e.g., Composer, BigQuery, GKE, Kubeflow)
Operates according to DevOps practices, Agile (Jira), uses CI/CD (GitHub Actions), increases reusability of code and design patterns from internal code libraries
Operationalizes Machine Learning models as integral element of IT solutions & business process

Qualification

PythonAzureGCPMachine LearningDevOpsAgileCI/CDContainerizationCode QualityREST APIDAG SchedulingML Experiment TrackingML Frameworks

Required

Formal education: Computer Science degree (or related)
Demonstrated experience in an independent software/data/AI engineer role in a large organization
Solid understanding of Software Development concepts (e.g., OOP, TDD, SOLID, Unit/Integration testing, Encapsulation, Interfaces design, Software integration, Software Development Lifecycle)
Extensive knowledge in Python development – especially in areas related to package development & distribution, reusable codebase maintenance, developer toolkit engineering
Practical experience in conducting code reviews, with significant attention to code quality, readability and maintainability
Validated experience with Azure and/or GCP clouds
Experience in Agile, CI/CD and DEVOPS methodologies – knowledge of using appropriate tools – e.g., Jira, GitHub Actions/Azure Devops/Jenkins, unit testing (e.g., PyTest) & mocking, static code analysis (e.g., Sonarqube), source control management tools (e.g., GitHub)
Familiarity with containerization technology and tools (e.g., Docker, Kubernetes)

Preferred

History of designing and implementing REST API services
Experience in building and scheduling DAGs via workflow orchestrators (e.g., Airflow/Composer, Azure Data Factory)
Practical experience with ML/AI experiment tracking tools (e.g., MLflow, VertexAI, AzureML)
Understanding of most popular ML/AI frameworks (e.g., TensorFlow/Keras, scikit-learn, PyTorch, XGBoost)

Benefits

Salary + bonus (if applicable) + benefits

Company

Procter & Gamble

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P&G was founded more than 185 years ago as a soap and candle company.

Funding

Current Stage
Public Company
Total Funding
$2.75B
2025-05-01Post Ipo Debt· $1.25B
2024-05-02Post Ipo Debt· $1.5B
2021-04-18Undisclosed· $0.3M

Leadership Team

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Jon Moeller
Chairman of the Board, President & Chief Executive Officer at Procter & Gamble
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Mary Lynn Ferguson McHugh
Chief Executive Officer - Family Care and P&G Ventures
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Company data provided by crunchbase