Ai Engineer Jobs

About The Position

Requirements

• 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.

Nice To Haves

• 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

Responsibilities

• 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, suggests and implements architecture improvement, and has responsibility for strengthening DevOps best practices within AI Engineering by coaching/teaching others

Benefits

• salary + bonus (if applicable) + benefits
• Mobility is a key component of many management careers, providing opportunities to grow through different assignments, locations, and business challenges. Candidates should be prepared to consider relocation opportunities throughout their career as business needs and development opportunities arise.