P&G

Senior AI Engineer

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SeniorZdalnie·WarszawaFull-time

#350880·Dodano 6 miesięcy temu·1

Źródło: P&G

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Tech Stack / Keywords

AIAPIBackendGenAI CI/CD GitHub Actions Python ETL

Firma i stanowisko

The Reusable AI team is part of the AI Factory program at P&G, focused on providing scalable Agentic, AI and API solutions to enhance internal initiatives and empower data scientists with reusable tools and services.

Wymagania

Very good Python development skills.
Knowledge of at least one cloud environment (Azure, GCP, or AWS).
Good knowledge of CI/CD processes (not necessarily on GitHub).
Practical experience with test-driven development.
Experience using Docker.
Experience in Kubernetes as an applications developer is a plus.

Obowiązki

Lead technical and architectural decisions for the Reusable AI team, focusing on development of services versus reusable components and external contributions.
Collaborate with the project manager to understand user needs and ensure solutions meet business requirements.
Oversee development and infrastructure of AI services, such as a Translation service, and provide templates for AI processing pipelines.
Engage with the IPA team to utilize API backend capabilities and collaborate with the GenAI team to integrate and consolidate inherited services.
Assess technical capacity needed for projects, ensuring alignment of resources and skills.
Focus on economic sustainability of products, evaluating cost-effectiveness and long-term viability.
Implement metrics to measure product adoption and gather insights for improvement.

More generally:

Create and manage CI/CD pipelines using GitHub Actions.
Develop and maintain Python code for algorithmic processing, AI functionalities, and ETL pipelines across cloud platforms including Microsoft Azure ML, Azure Databricks, Google Vertex AI, Google Cloud Run, Azure Kubernetes Service, Azure Container Apps.
Ensure compliance with network, firewall, and security specifications within the P&G cloud environment.
Design innovative code solutions and foster team collaboration.
Collaborate with infrastructure and cloud teams to ensure software compatibility with cloud infrastructure constraints.
Work with Customer Solutions Engineering team to build user experience delivering value to AI Factory users.
Participate in a lightweight SCRUM team integrating with other teams and external partners through the Scaled Agile Framework.

Benefity

Responsibilities from day one with project ownership and autonomy.
Dynamic and encouraging work environment promoting agility and work/life balance.
Continuous mentoring and ongoing coaching from line manager and colleagues.
Corporate and functional training to support development.
Industry certifications (ITIL, DevOps, MS portfolio) and additional benefits including private health care, sport cards, in-office fitness center, stock options, saving plans, lunch subsidy, regular salary increases, possible promotions, flexible work arrangements, mentoring programs, and trainings.
Big picture understanding of P&G IT and Product Supply organization with global multi-functional teams.
Hybrid work model with option to work from home two days a week and in-office collaboration.

Opieka zdrowotna

Karta sportowa

Udziały pracownicze

Dofinansowanie szkoleń

Elastyczne godziny

Inne informacje

Employment is exclusively extended on the basis of "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.

P&G

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