Procter & Gamble

AI Engineer

Poland · Work style not stated · Full time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

  • EmployerProcter & Gamble
  • LocationPoland
  • Work styleWork style not stated
  • Employment typeFull time
  • Employer posted

Job Location

WARSAW DOWNTOWN OFFICE

Job Description

We are looking for a passionate AI Engineer who is eager to make an impact on their career and take on a new challenge!

With us, you will

Collaborate with cross-functional teams: Partner with data scientists, data managers, analysts, infrastructure engineers, and peer AI Engineers to develop, integrate, and scale new algorithmic products

Evaluate new models and technology: Engage in proof of concepts and experiments to assess the efficiency of new models and technologies

Ensure code quality: Develop high-quality, standard-compliant, and tested code, and refactor code as necessary

Contribute to code and tool libraries: Contribute code and tools to central re-usable libraries and repositories for enhanced efficiency and collaboration

Develop data models and pipelines: Design data models, model features, data quality tests, ETL/ELT pipelines, and distributed compute architectures

Show full description

Deploy algorithmic products: Deploy algorithmic products across cloud platforms, leveraging cloud-native services effectively

Manage and automate cloud resources: Implement Infrastructure as Code (IaC) to manage and automate cloud resources efficiently

Implement best practices: Apply DevOps, DataOps, and MLOps principles in day-to-day work, including developing continuous integration, delivery, and training pipelines

Ensure operational efficiency: Utilize observability and automation tools to manage operations of algorithmic products across the technology stack

Contribute to P&G's ecosystem: Participate in strategic efforts to build and maintain P&G's ecosystem of reusable code components, and contribute code to open-source projects following P&G IT policies

Job Qualifications

Experience with Python

Familiarity with AI and ML concepts and frameworks

Experience in data engineering, data science, machine learning operations

Proven understanding of designing efficient, robust, and automated pipelines for big data

Strong background in CI/CD pipelines (such as GitHub Actions)

Familiarity in operating on, and deploying to a cloud environment (such as Azure)

What we offer

Work in an international team with global responsibilities (and Data Science & AI Engineering teams co-located in Warsaw)

Industry Certifications (e.g. DevOps, Professional Scrum Master, Azure Fundamental, SAFe Agilist and many others)

Competitive salary and benefits program (private health care, life insurance, P&G stock options, saving plans, lunch subsidy, sports cards, in-office fitness center)

Internal coaching programs & training

Flexible working arrangements

A long-term career with development and growth opportunities

At P&G #weseeequal

We are an equal opportunity employer and value diversity at our company. At P&G we strive to build a culture where everyone feels welcome, included, and able to bring their full selves to work.

We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please click here if you require an accommodation during the application process. Please make sure to wait to hear back from us regarding your accommodation before proceeding with the online assessment, we thank you in advance for your patience.

Kindly be advised that at P&G, employment is exclusively extended on the basis of "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.

Job Schedule

Full time

Job Number

R000146446

Job Segmentation

Experienced Professionals

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At a glance

  • Employment typeFull time
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

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Python Azure Machine learning Scrum

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