Junior GenAI Engineer - OSS GenAI Accelerators

Job Location

MANILA NET PARK OFFICE

Job Description

Join us in the journey of Generative AI with One Supply Services!

Are you an engineer experienced in Python and data processing who wants to work on Generative AI use cases? Hoping to work in a highly innovative area, constantly challenging the status quo? Is simply applying best practices not enough for you because you'd rather actively craft them? If, so come and join our organization as a Junior GenAI Engineer. Help us make use of the latest AI technology to solve some of the most interesting problems for Supply Chain.

The mission of GBS (Global Business Services) is to Enable P&G to Win by delivering value-creating services and solutions, with seamless and touchless data flows and close collaboration with our business partners. Our team, the OSS GenAI Accelerators, leverages Generative AI to unlock significant value, productivity and scale through a multi-application agent operated for One Supply Chain, powered by data across nodes from supplier to consumer, to connect routine-based queries to the required business interface. Our aim is to build Horizontal Supply Chain Digital Assistants called Ultimate Virtual Agents where we have Customer Service Assistant, Supply Assistant, Growth and Availability Assistant, Transportations Assistant and more.

RESPONSIBILITIES:

• Works on 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 LLM models 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 Generative 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.

• Operates according to DevOps practices, Agile (Jira), uses CI/CD (GitHub Actions), increases reusability of code and design patterns from internal code libraries.

• Operationalizes LLM models as integral element of IT solutions & business process.

Job Qualifications

EXPECTED QUALIFICATIONS

• Background in software/data science/data/AI engineer role.

• 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 cloud.

• 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).

• Understanding of Software Development concepts (e.g., OOP, TDD, SOLID, Unit/Integration testing, Encapsulation, Interfaces design, Software integration, Software Development Lifecycle).

• Experience with REST API services.

PREFERRED QUALIFICATIONS

• Strong familiarity with Agile and/or project management tools, methodologies, and best practices.

• Experience seeing projects through the life cycle by working in a team.

• Proven ability to solve problems creatively, strong interpersonal skills.

• Ability to communicate technical concepts to teammates and non-technical colleagues.

Job Schedule

Full time

Job Number

R000118820

Job Segmentation

Experienced Professionals (Job Segmentation)