AI Engineer Full-time

Job Location
Taguig City

Job Description

Are you a ML/AI Engineer experienced in Python and data processing who wants to work on scaling and operationalization of large-scale AI use cases? Hoping to work in a highly innovative area, constantly challenging the status quo? Is simply applying best practices is not enough for you because you’d rather actively craft them? If, so come and join our AI Engineering organization as an Artificial Intelligence Engineer! Help us make use of the latest AI technology to solve some of the world’s most interesting problems.

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.
• Prepares data models and feature quality checks, optimizes analytical solutions at scale.
• 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.
• Cooperates with the Data Science, Data Management, Platform and InfoSecurity teams on end-to-end AI and advanced analytics solutions.
• Influences stakeholders across the organization (decision makers, IT project teams, business partners, vendors) to promote the established software development direction.
• 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
Requirements:

• 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).

Preferred Qualifications:

• 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).

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®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.

Job Schedule
Full time

Job Number
R000113384

Job Segmentation
Experienced Professionals (Job Segmentation)