Senior AI Engineer

Job Location CINCINNATI GENERAL OFFICES

The Senior AI Engineer is part of our Data, Analytics, and AI job family. This job family is responsible for transforming large complex data sets into pragmatic, actionable insights. Leveraging data to drive significant business impact and understanding the underlying data science principles is crucial in this role.

The Senior AI Engineer is responsible for partnering with Data Science and Business teams to develop, operationalize, integrate, and scale new algorithmic products. This includes engaging in proof of concepts and experiments to evaluate new models and technology, developing high quality, standard-compliant, tested code, contributing code and tools to central re-usable libraries and repositories and open-source projects, in line with P&G IT policies.

The role also involves developing data models, model features, data quality tests, ETL/ELT pipelines, and distributed computer architectures. Deploying algorithmic products across the clouds, skillfully leveraging cloud-native services is a key part of this role.

• 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, skillfully leveraging cloud-native services.
• 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, Big Query, GKE, Kubeflow).
• Operates according to Dev Ops practices, Agile (Jira), uses CI/CD (Git Hub 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, suggests and implements architecture improvement, and has responsibility for strengthening Dev Ops best practices within AI Engineering by coaching/teaching others.

• 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 Dev Ops methodologies - knowledge of using appropriate tools - e.g. Jira, Git Hub Actions, unit testing & mocking, static code analysis (e.g. Sonarqube), source control management tools (e.g. Git Hub).
• Azure cloud infrastructure knowledge (including load balancing, autoscaling, firewalls, and authentication).
• Databricks knowledge.
• Logging and monitoring technologies knowledge (depending on the needs, from Logstash to Grafana, Kibana).
• CI/CD processes knowledge and development using Git Hub Actions and Git Hub Infrastructure…