AI Engineer at Procter & Gamble

Warsaw, Masovian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

03 Jul, 26

Salary

0.0

Posted On

04 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine learning, Data engineering, Data science, MLOps, CI/CD, GitHub Actions, Azure, Cloud computing, Infrastructure as Code, ETL/ELT pipelines, Distributed compute architectures, Data modeling, DevOps, DataOps, Observability

Industry

Manufacturing

Description

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 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 Starting Pay / Salary Range

Responsibilities

The AI Engineer will collaborate with cross-functional teams to develop, integrate, and scale algorithmic products while ensuring high code quality and operational efficiency. They will also design data pipelines, manage cloud resources using Infrastructure as Code, and implement MLOps best practices.