Senior AI Engineer - Cloud-Native ML & Data Pipelines

Procter & Gamble; Cincinnati (OH); Hybrid; USD 132,000 - 165,000; Full time

Job summary

Procter & Gamble is seeking a Senior AI Engineer in Cincinnati to transform large data sets into actionable insights and scalable algorithmic products. You will work with Data Science, Analysts and other AI Engineers to develop, deploy, and operationalize models, pipelines, and data architectures across multi-cloud environments.

You will contribute to reusable libraries, implement DevOps practices, and ensure standard-compliant code while advancing analytics at scale.

Qualifications

• A Bachelors or Master’s degree in Computer Science, Software Engineering or related field.
• 5+ years of proven experience in Python & SQL, data modelling, design, development, and deployment of Data and Analytics products.
• Experience in Agile and DevOps methodologies - Jira, GitHub Actions, unit testing & mocking, static code analysis (e.g. Sonarqube).
• Azure cloud infrastructure knowledge (load balancing, autoscaling, firewalls, authentication).
• Databricks knowledge.
• Logging and monitoring technologies (e.g. Logstash, Grafana, Kibana).
• CI/CD with GitHub Actions and Terraform/Ansible.
• Strong written and verbal communication in English.
• Ability to work a hybrid schedule in Cincinnati, OH based office.

Responsibilities

• Engage in proof of concepts and experiments to evaluate new models and technology.
• Develop high quality, standard-compliant, tested code.
• Contribute code and tools to central re-usable libraries and repositories and open-source projects.
• Develop data models, model features, data quality tests, ETL/ELT pipelines, and distributed computer architectures.
• Deploy algorithmic products across the clouds using cloud-native services.
• Collaborate with Data Scientists, Analysts, and AI Engineers to deliver new analytical algorithms and applications.
• Prepare data models and quality checks, optimize analytics at scale.
• Design and develop applications that source data from various systems using Python and SQL.
• Support multi-cloud environments (Azure and/or GCP) with Databricks, AKS, ADF, BigQuery, GKE, Kubeflow.
• Operate according to DevOps practices, Agile (Jira), CI/CD (GitHub Actions); improve code reusability.

Skills

Python

SQL

Data modelling

CI/CD practices

Agile methodologies

DevOps

English communication

Hybrid work coordination

Education

Bachelor’s or Master’s in Computer Science or Software Engineering

Tools

Azure

Databricks

GitHub Actions

Terraform

Ansible

Logstash

Grafana

Kibana

Job description

Procter & Gamble is seeking a Senior AI Engineer in Cincinnati to transform large data sets into actionable insights and scalable algorithmic products. You will work with Data Science, Analysts and other AI Engineers to develop, deploy, and operationalize models, pipelines, and data architectures across multi-cloud environments.

You will contribute to reusable libraries, implement DevOps practices, and ensure standard-compliant code while advancing analytics at scale.