Are you a Software Engineer with strong Python/PySpark skills, deep understanding of Azure cloud-based AI environments and experience with CI/CD? Procter & Gamble is looking for an AI Engineer to partner closely with our Data Scientists on exciting business use cases in the retail, marketing and supply chain areas. In this role you would be working closely with data scientists to Scale algorithms as well as define platforms, architectures and best practices to enable rapid development and deployment of algorithmic solutions.
Your team
This role will work closely with team of Data Scientists and AI Engineering peers in AMA. Role will also connect with Global AI Engineering/Data Engineering organization to drive best practices to build AI products.
Responsibilities of the role
As a Python Software Engineer at P&G, you will:
- Operationalize AI models as integral element of IT solutions & business processes.
- Implement best Software Engineering practices to make cloud infrastructure “invisible” for data scientists and developers.
- Work 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
- Prepare data models and quality checks, optimizes analytical solutions at scale
- Design and develop applications that source data from various systems, programming in Python and SQL
- Support solutions in multi-cloud environments and services – in Azure (e.g. Databricks, Azure ML, AKS, ADF).
- Operate according to DevOps practices, Agile (Jira), uses CI/CD (GitHub Actions), increases reusability of code and design patterns from internal code libraries
- Troubleshoot infrastructure related issues to enable most critical Artificial Intelligence products at P&G
- Create proactive incident detection systems based on multiple data sets, real-time data stream analyses.
- Craft and develops proof of concept or prototypes for new features or solutions.
- Suggest and implements architecture improvements.
- Strengthen DevOps best practices within AI Engineering by coaching/teaching others.
Job Qualifications
- A Bachelors or Master’s degree in Computer Science, Software Engineering or related field
- 2+ years proven cloud & engineering experience in development and deployment of Data and Analytics products.
- Strong Python programming to write clean, maintainable code for building Data and Analytics products.
- Practical experience in Test-Driven Development in Python to build strong unit tests in PyTest testing Framework
- Experience in Agile, CI/CD and DEVOPS methodologies – knowledge of using appropriate tools – e.g. Jira, GitHub Actions / Azure Devops / Jenkins, unit testing (e.g. PyTest) & mocking, static code analysis (e.g. Sonarqube), source control management tools (e.g. GitHub)
- K8 and connected technologies (Helm, Kustomize.io, etc.) knowledge
- Logging and monitoring technologies knowledge (depending on the needs, from Logstash to Grafana, Kibana, fluentd)
- CICD processes knowledge and development using GitHub Actions and GitHub
- Infrastructure build tools and languages knowledge – Terraform, Ansible
- Strong written and verbal communication in English
Preferred skills:
- Experience with development and deployment of AI products to production.
- Expert level Python development experience.
- Experience developing and deploying production software.
- A history of solving hard problems with creative solutions.
- Experience with cloud native development on Microsoft Azure, Amazon Web Services.
- Experience with source control management tools (GitHub)
- Desire to write testable code, and the test coverage to go along with it.
- CI/CD tools knowledge and experience, familiar working in a DevOps environment.
- Strong problem-solving skills paired with experience in programming.
- Ability to communicate technical concepts to teammates and non-technical colleagues.
