AI Engineer

Job Location Cincinnati Job Description 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.

AI Engineering at Procter & Gamble is responsible for operationalizing and supporting AI use cases using products that embed Machine Learning pipelines deployed to e.g. Google Cloud Platform, that utilize Big Query, Kubeflow and Python language, and is looking for AI Platform Engineer with a passion to creatively solve scalability, deployments and development problems in our team. The AI Engineering Team at Procter & Gamble is responsible for products that embed Machine Learning pipelines deployed to Google Cloud Platform that utilize Big Query, Kubeflow and Python language. We are looking for an AI E ngineer with a passion for creatively solving scalability, deployment, and development issues in our company.

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 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 integral element of IT solutions & business process. Implements best Platform Engineering practices to make cloud infrastructure “invisible” for data scientists and model developers Troubleshoots infrastructure related issues to enable most critical Artificial Intelligence products at P&G Proactive incident detection systems based on multiple data sets, real-time data stream analyses Crafts and develops proof of concept or prototypes for new features or solutions, s uggests and implements architecture improvement, and has r esponsibility for strengthening DevOps best practices within AI Engineering by coaching/teaching others   Job Qualifications Required A Bachelors or Master’s degree in Computer Science, Software Engineering or related field 2+ years of proven experience in Python & SQL, data modelling, design, development, and deployment of Data and Analytics products Ability to work a hybrid schedule in Cincinnati, OH based office. Preferred 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 environment Compensation for roles at P&G varies depending on a wide array of equal