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