P&g
SeniorAIEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior AI Engineer at P&g. Skills: Python, SQL, Azure, Databricks. Develop algorithmic products. Operationalize algorithmic products”
What You'll Achieve.
Deliver change; Deliver results
What They're Looking For.
Must Have
Python, SQL, data modelling, design, development, deployment of Data and Analytics products, Agile, DevOps methodologies, Jira, GitHub Actions, unit testing, mocking, static code analysis, Sonarqube, GitHub, Azure cloud infrastructure, load balancing, autoscaling, firewalls, authentication, Databricks, Logging and monitoring technologies, Logstash, Grafana, Kibana, CI/CD processes, Terraform, Ansible
Nice to Have
ITIL, DevOps, MS portfolio
What You'll Do.
Develop algorithmic products
Operationalize algorithmic products
Integrate algorithmic products
Scale algorithmic products
Engage in proof-of-concepts
Evaluate new technologies
Develop high-quality code
Develop standard-compliant code
Contribute code to libraries
Contribute tools to repositories
Develop model features
Develop data quality tests
Develop ETL/ELT pipelines
Develop distributed compute architectures
Deploy algorithmic products
Leverage cloud-native services
Manage cloud resources
Automate cloud resources
Implement DevOps principles
Implement DataOps principles
Implement MLOps principles
Develop CI/CD pipelines
Develop continuous delivery pipelines
Develop continuous training pipelines
Leverage observability tools
Leverage automation tools
Manage operations of algorithmic products
How You'll Work.
Team & Collaboration
Partner with data scientists; Partner with data managers; Partner with analysts; Partner with infrastructure engineers; Partner with peer AI Engineers; Work with global multi-functional teams
Communication Scope
written communication in English; verbal communication in English
Full Job Description
**Job Location** WARSAW DOWNTOWN OFFICE **Job Description** **Senior****AI Engineer** at P&G partners with data scientists, data managers, analysts, infrastructure engineers, and peer AI Engineers to develop, operationalize, integrate, and scale new algorithmic products. Engages in proof-of-concepts and experiments to evaluate new models and technologies. Develops high-quality, standard-compliant, and tested code. Refactors the code of others as necessary. Contributes code and tools to central re-usable libraries and repositories. Develops data models, model features, data quality tests, ETL/ELT pipelines, and distributed compute architectures. Deploys algorithmic products across the clouds, skillfully leveraging cloud-native services. Manages and automates cloud resources (IaC). Implements DevOps, DataOps and MLOps principles in day-to-day work. Develops continuous integration, delivery, and training pipelines. Leverages observability and automation tools to manage operations of algorithmic products across the stack. **Job Qualifications** * **5 + years of proven experience in Python & SQL**,**data modelling, design, development, and deployment of Data and Analytics products** * **Experience in Agile and DevOps methodologies** – knowledge of using appropriate tools – e.g. Jira, GitHub Actions, unit testing & mocking, static code analysis (e.g. Sonarqube), source control management tools (e.g. GitHub) * **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 GitHub Actions and GitHub** * **Infrastructure build** tools and languages knowledge – Terraform, Ansible * Strong written and verbal communication in English **What we offer** * Responsibilities as of day 1. You will have project ownership and autonomy to deliver change
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