AI Engineer at Procter & Gamble Company

Warsaw, Masovian Voivodeship, Poland

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Consumer GoodsIndustries

Requirements

Demonstrated skills in applied Big Data technologies
Python language for manipulating data
SQL, Linux Shell Scripting
Experience in Agile, CI/CD and DevOps methodologies – knowledge of using appropriate tools – e.g. Jira, GitHub Actions, Sonarqube
Create (design/code) advanced ELT and analytic applications operating on medium/high volume of data
Design/build database/data warehouse solutions to support BI processes
Cloud services frameworks, Azure and/or GCP
Strong written and verbal English communication skills to influence others
Demonstrated use of data and BI tools
Ability to handle multiple priorities
Ability to work collaboratively across functions and organize work
Nice to have
Practical experience in AI/ML technologies and practices, including MLOps
Conversant knowledge of emerging data and AI technologies and trends
Build ML/AI solutions to support the Data Engineering and operations team in self-healing systems, outage prevention, or data quality
Familiarity with containerization technology and tools (e.g., Docker, Kubernetes)
Big Data technologies (Hive, Impala) and NoSQL databases

Responsibilities

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

Skills

Key technologies and capabilities for this role

PythonSQLLinux Shell ScriptingJiraGitHub ActionsSonarqubeAzureGCPDockerKubernetesHiveImpalaETLELTMLOps

Questions & Answers

Common questions about this position

What is the salary for this AI Engineer position?

This information is not specified in the job description.

Is this AI Engineer role remote or office-based?

This information is not specified in the job description.

What key skills are required for the AI Engineer role?

Required skills include demonstrated skills in applied Big Data technologies, Python for manipulating data, SQL, Linux Shell Scripting, and experience in Agile, CI/CD, and DevOps methodologies.

What is the work environment like at P&G for this role?

P&G offers a dynamic and encouraging work environment that values employees at the core, encourages initiatives, promotes agility and work/life balance, and provides continuous mentoring from colleagues.

What benefits does P&G offer for the AI Engineer position?

Benefits include industry certifications (ITIL, DevOps, MS portfolio etc), full additional benefit program like private health care, P&G Dynamic Living programs like sport cards, in-office fitness center, PG stock options, saving plans, lunch subsidy, and regular salary increases.