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
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
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)
