Procter & Gamble

3 weeks ago

AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Develop and scale algorithmic products by partnering with data scientists, engineers, and peer AI Engineers. Evaluate new AI/ML models through proofs of concept, build high-quality tested code, and design data models and ETL/ELT pipelines. Deploy cloud-native solutions, apply IaC for automated resources, and operationalize products using DevOps, DataOps, and MLOps with CI/CD and observability.

Location: Warsaw

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Collaborate with cross-functional teams to develop, integrate, and scale new algorithmic products.
•Evaluate and test new models and technologies via proof of concepts and experiments.
•Develop high-quality, tested code and refactor as needed; contribute to central reusable libraries and repositories.
•Design data models, feature sets, data quality tests, and ETL/ELT pipelines with distributed compute architectures.
•Deploy algorithmic products on cloud platforms, use IaC to manage resources, and apply DevOps/DataOps/MLOps with CI/CD and observability.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsuranceLife InsuranceEquitySaving PlansMeal AllowanceSports CardsGym MembershipRemote Work

Key Requirements

•Experience with Python and agentic coding/AI-assisted programming.
•Familiarity with AI and ML concepts and frameworks.
•Experience with data engineering, data science, and machine learning operations.
•Ability to design robust automated pipelines for big data and ML training/inference.
•Strong background in CI/CD pipelines (e.g., GitHub Actions) and experience deploying to cloud (preferred GCP).

Skills:CollaborationAttention to detail

Certifications:DevOpsProfessional Scrum MasterAzure FundamentalSAFe Agilist

Tech Stack:PythonAgentic CodingAIMLData engineeringMachine learning operationsETL/ELTCI/CDGitHub ActionsCloud-native servicesInfrastructure as CodeDevOpsDataOpsMLOpsObservabilityGCP

Company Brief

Procter & Gamble

Procter & Gamble is a global consumer goods company that develops, manufactures, and markets branded household, personal care, and health products across categories like beauty, grooming, health care, fabric & home care, and baby & family care.

Industry: Consumer Goods

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cincinnati, United States

Founded: 1837

Website LinkedIn

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Procter & Gamble

3 weeks ago

AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Warsaw

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Collaborate with cross-functional teams to develop, integrate, and scale new algorithmic products.
•Evaluate and test new models and technologies via proof of concepts and experiments.
•Develop high-quality, tested code and refactor as needed; contribute to central reusable libraries and repositories.
•Design data models, feature sets, data quality tests, and ETL/ELT pipelines with distributed compute architectures.
•Deploy algorithmic products on cloud platforms, use IaC to manage resources, and apply DevOps/DataOps/MLOps with CI/CD and observability.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsuranceLife InsuranceEquitySaving PlansMeal AllowanceSports CardsGym MembershipRemote Work

Key Requirements

•Experience with Python and agentic coding/AI-assisted programming.
•Familiarity with AI and ML concepts and frameworks.
•Experience with data engineering, data science, and machine learning operations.
•Ability to design robust automated pipelines for big data and ML training/inference.
•Strong background in CI/CD pipelines (e.g., GitHub Actions) and experience deploying to cloud (preferred GCP).

Skills:CollaborationAttention to detail

Certifications:DevOpsProfessional Scrum MasterAzure FundamentalSAFe Agilist

Tech Stack:PythonAgentic CodingAIMLData engineeringMachine learning operationsETL/ELTCI/CDGitHub ActionsCloud-native servicesInfrastructure as CodeDevOpsDataOpsMLOpsObservabilityGCP

Company Brief

Procter & Gamble

Industry: Consumer Goods

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cincinnati, United States

Founded: 1837

Website LinkedIn