AI Engineer

Information Technology at Procter & Gamble is where business, innovation and technology integrate to build 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 expertise to deliver innovative, tech-focused business models and capabilities for our 65 iconic, trusted brands.

From Day 1, you’ll be trusted to dive right in, take the lead, use your initiative, and build billion-dollar brands that help make everyday activities easier and make the world a better place! Our company offers purposeful work that will take your career places you never envisioned, in creative workspaces where innovation thrives and where your technical expertise is recognized and rewarded.

About the role

The AI Engineering Team at Procter & Gamble is responsible for operationalizing and supporting AI use cases using products that embed Machine Learning pipelines deployed to Google Cloud Platform, utilizing Big Query, Kubeflow, and Python. We are looking for an AI Platform Engineer with a passion for creatively solving scalability, deployment, and development issues.

Responsibilities

• Works on advanced analytics use cases together with Data Scientists, Analysts, and peer AI Engineers; engages in proof of concepts and experiments to deliver new analytical algorithms and applications.
• Prepares data models and quality checks, optimizes analytical solutions at scale.
• Designs and develops applications that source data from various systems, programming in Python and SQL.
• Supports 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 an integral element of IT solutions and business processes.
• Implements best Platform Engineering practices to make cloud infrastructure “invisible” for data scientists and model developers.
• Troubleshoots infrastructure-related issues to enable the most critical Artificial Intelligence products at P&G.
• Develops proactive incident detection systems based on multiple data sets and real-time data stream analyses.
• Crafts and develops proof of concept or prototypes for new features or solutions, suggests and implements architecture improvements, and strengthens DevOps best practices within AI Engineering by coaching/teaching others.

Requirements

• A Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• 2+ years of proven experience in Python & SQL, data modeling, design, development, and deployment of Data and Analytics products.
• Ability to work a hybrid schedule in the Cincinnati, OH-based office.

Qualifications

• Experience in Agile, CI/CD, and DevOps methodologies – knowledge of using appropriate tools, e.g., Jira, GitHub Actions.
• Testing (e.g., PyTest) & mocking, static code analysis (e.g., Sonarqube), source control management tools (e.g., GitHub).
• GCP/Azure cloud infrastructure knowledge (including load balancing, autoscaling, firewalls, authentication).
• Experience with AI/ML products and model pipelines and deployment processes.
• Logging and monitoring technologies.
• Strong written and verbal communication in English.
• Problem-solving skills in complex cloud environments.

Pay

$85,000.00 - $122,200.00 / year

Schedule

Full time