AI Platform Engineer

Job Location

Job Description

• 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 cloud environments and services – in GCP (e.g. Composer, BigQuery, GKE, Kubeflow, Vertex AI)

• Operates according to DevOps practices, Agile (Jira), uses CI/CD (GitHub Actions), increases reusability of code and design patterns from internal code libraries

• 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 improvements

• Responsibility for strengthening DevOps best practices within AI Engineering by coaching/teaching others

Job Qualifications

• 3+ years of proven experience in Python & SQL, data modelling, design, development, and deployment of Data and Analytics products

• Experience in Agile, CI/CD and DEVOPS methodologies – knowledge of using appropriate tools – e.g. Jira, GitHub Actions, unit testing (e.g. PyTest) & mocking, static code analysis (e.g. Sonarqube), source control management tools (e.g. GitHub)

• GCP cloud infrastructure knowledge (including load balancing, autoscaling, firewalls, authentication)

• 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 AI/ML products and deployment of products to production

• Knowledge and experience in machine learning algorithms development

• Python development experience

• Experience developing and deploying production software

• A history of solving hard problems with creative solutions

• Experience with cloud native development on Google Cloud Platform

• 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, such as Python

• Ability to communicate technical concepts to teammates and non-technical colleagues

What we offer 

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