AI Engineer

Procter & Gamble

10d • $85,000 - $115,000

About The Position

Are you a ML/AI Engineer experienced in Python and data processing who wants to work on scaling and operationalization of large-scale AI use cases? Hoping to work in a highly innovative area, constantly challenging the status quo? Is simply applying best practices is not enough for you because you'd rather actively craft them? If, so come and join our AI Engineering organization as an Artificial Intelligence Engineer! Help us make use of the latest AI technology to solve some of the world’s most interesting problems.

Requirements

• 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)

Nice To Haves

• 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).

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees