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Procter & Gamble

Senior AI Engineer

Procter & Gamble
Cincinnati, OH $132k - $165k/yr Full time Posted 44m ago
Senior Artificial Intelligence Data Analysis Data Analytics Data Architecture Data Integration Data Pipeline Data Platform Data Processing Data Science Database Databases ETL Integration Software Development SQL
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Job Description

Cincinnati-based (hybrid) Senior AI Engineer role partnering with Data Science and Business teams to build, operationalize, integrate, and scale algorithmic products.

Responsibilities

  • Run proof of concept efforts and experiments to evaluate new models and emerging technology
  • Write high-quality, standard-compliant code with testing in mind
  • Contribute to central reusable libraries, repositories, and open-source projects
  • Build data models, model features, data quality tests, and ETL/ELT pipelines
  • Design and develop distributed computer architecture for advanced analytics and ML workloads
  • Deploy machine learning and algorithmic products across cloud environments using cloud-native services
  • Collaborate with Data Scientists, Analysts, and peer AI Engineers on advanced analytics use cases
  • Prepare data models and quality checks and optimize analytical solutions at scale
  • Develop applications that source data from multiple systems using Python and SQL
  • Support multi-cloud implementations in Azure (Databricks, Azure ML, AKS, ADF) and/or GCP (Composer, BigQuery, GKE, Kubeflow)
  • Operate under DevOps and Agile practices (Jira), including CI/CD via GitHub Actions
  • Operationalize machine learning models as part of IT solutions and business processes
  • Apply platform engineering practices to minimize cloud infrastructure friction for data scientists and model developers
  • Troubleshoot infrastructure issues to keep critical AI products running
  • Implement proactive incident detection using multiple datasets and real-time data stream analysis
  • Create prototypes or proof of concepts for new features or solutions, suggest architecture improvements, and strengthen DevOps best practices through coaching/teaching

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field
  • 5+ years proven experience with Python and SQL plus data modeling, and design/development/deployment of data and analytics products
  • Experience with Agile and DevOps methodologies and relevant tooling, including Jira, GitHub Actions, unit testing and mocking, and static code analysis such as SonarQube
  • Source control management experience (for example, GitHub)
  • Azure cloud infrastructure knowledge, including load balancing, autoscaling, firewalls, and authentication
  • Databricks knowledge
  • Knowledge of logging and monitoring tooling (for example, Logstash to Grafana and Kibana)
  • CI/CD process knowledge and development using GitHub Actions and GitHub
  • Infrastructure build tools and languages knowledge, including Terraform and Ansible
  • Strong written and verbal communication in English
  • Ability to work a hybrid schedule from the Cincinnati, OH office

Technologies

  • Python, SQL
  • Databricks
  • Azure ML, AKS, ADF, Azure
  • Composer, BigQuery, GKE, Kubeflow, GCP
  • Jira, GitHub, GitHub Actions
  • Unit testing, Mocking, SonarQube
  • Logstash, Grafana, Kibana
  • Terraform, Ansible
  • CI/CD, DevOps, ETL/ELT, Machine Learning

Job Details

  • Location: Cincinnati, OH (hybrid) - Cincinnati General Offices
  • Schedule: Full time
  • Job Number: R000158858
  • Job Segmentation: Experienced Professionals
  • Salary Range: USD 132,200 - 165,300 per year
  • Starting Pay / Salary Range: $132,200.00 - $165,300.00 / year

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