Job Location

　　Singapore

　　Job Description

　　Overview of the job

　　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.

　　About us

　　We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

　　Visit http://www.pg.com to know more.

　　Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.

　　We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.

　　Job Schedule

　　Full time

　　Job Number

　　R000096540

　　Job Segmentation

　　Experienced Professionals (Job Segmentation)

　　P&G was founded over 180 years ago as a simple soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We’ve spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship.

　　The insight, innovation and passion of talented teams has helped us grow into a global company that is governed responsibly and ethically, that is open and transparent, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.