Beauty Care, AI Engineer
Job Location
WARSAW DOWNTOWN OFFICEJob Description
ABOUT US
We produce globally recognized brands, and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ambi Pur®, Ariel®, Bounty®, Charmin®, Crest®, Dawn®, Downy®, Fairy®, Febreze®, Gain®, Gillette®, Head & Shoulders®, Lenor®, Olay®, Oral-B®, Pampers®, Pantene®, SK-II®, Tide®, Vicks®, and more. Our community includes operations in approximately 70 countries worldwide. Please visit www.pg.com for the latest news and information about us and our brands.
Information Technology at Procter & Gamble is where business, innovation and technology integrate to build a competitive advantage for P&G. Our mission is clear -- we deliver IT to help P&G win with the over 5 billion consumers we serve worldwide. Our IT professionals are diverse business leaders who apply IT expertise to deliver innovative, tech-focused business models and capabilities for our 65 iconic, trusted brands. From Day 1, you’ll be trusted to dive right in, take the lead, use your initiative, and help build billion-dollar brands that help make everyday activities easier and make the world a better place!
The Opportunity
Are you a ML/AI Engineer experienced in Python and data processing who wants to work on innovative AI use cases? Hoping to work in a highly innovative area, constantly challenging the status quo? If, so come and join our Beauty Care IT Team as an Artificial Intelligence Engineer! Help us make use of the latest AI technology to solve some of the Beauty Care’s most interesting problems. You will work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to create innovative solutions and deliver high-quality data solutions and experiments!
Key Responsibilities:
- Works on advanced analytics use cases together with Data Scientists, Analysts, peer AI Engineers; engages in proof of concepts and experiments together to deliver new analytical algorithms and applications.
- Participates in strategic effort to build and maintain P&G ecosystem of reusable code components through validating code quality, leading development & integration process and making crucial decisions on distribution strategy.
- Continuously evaluates and recommends the best technologies for implementation of ML/AI software in collaboration with the Data Science team.
- Provides development governance, direction and consultations to business and engineering teams.
- Influences stakeholders across the organization (decision makers, IT project teams, business partners, vendors) to promote the established software development direction.
- Translate business requirements into product features.
- Deploys solutions in multi-cloud environments and services – in Azure (e.g., Databricks, Azure ML, AKS, ADF) and/or in GCP (e.g., Composer, BigQuery, GKE, Kubeflow).
- Operates according to DevOps practices, Agile (Jira), uses CI/CD (GitHub Actions), increases reusability of code and design patterns from internal code libraries.
- Operationalizes Machine Learning models as integral element of IT solutions & business process.
Job Qualifications
Required
- Bachelor's Degree in Computer Science, Information Science, Engineering or applicable field.
- Minimum of 3 years experience building AI solutions
Minimum 5 years of experience in Data Engineering in roles of progressive responsibility
- Demonstrated experience in an independent software/data/AI engineer role in a large organization.
- Solid understanding of Software Development concepts (e.g., OOP, TDD, SOLID, Unit/Integration testing, Encapsulation, Interfaces design, Software integration, Software Development Lifecycle).
- Extensive knowledge in Python development – especially in areas related to package development & distribution, reusable codebase maintenance, developer toolkit engineering.
- Practical experience in conducting code reviews, with significant attention to code quality, readability and maintainability.
- Validated experience with Azure and/or GCP clouds.
- Experience in Agile, CI/CD and DEVOPS methodologies – knowledge of using appropriate tools – e.g., Jira, GitHub Actions/Azure Devops/Jenkins, unit testing (e.g., PyTest) & mocking, static code analysis (e.g., Sonarqube), source control management tools (e.g., GitHub).
- Familiarity with containerization technology and tools (e.g., Docker, Kubernetes).
- Practical experience and a lot of passion for AI/ML technologies and practices including MLOps.
- Conversant knowledge of emerging data and AI technologies and trends.
- Formal education: Computer Science degree (or related).
- English fluency (Upper-Intermediate or higher level).
Preferred
Master's Degree in Computer Science, Information Science, Engineering, or applicable field
History of designing and implementing REST API services.
- Experience in building and scheduling DAGs via workflow orchestrators (e.g., Airflow/Composer, Azure Data Factory).
- Practical experience with ML/AI experiment tracking tools (e.g., MLflow, VertexAI, AzureML).
- Understanding of most popular ML/AI frameworks (e.g., TensorFlow/Keras, scikit-learn, PyTorch, XGBoost
Please apply by submitting your CV in English
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.
Job Schedule
Full timeJob Number
R000124002Job Segmentation
Experienced Professionals (Job Segmentation)
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