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Текст:
Hirify AI/Оригинал
TL;DR
Senior AI Engineer (AI Factory): Building scalable agentic AI, API services, reusable components, and AI processing pipelines for internal data science initiatives with an accent on Python, cloud platforms, CI/CD, and infrastructure integration. Focus on leading architectural decisions, integrating AI services, optimizing product sustainability, and measuring adoption across the AI Factory.
Location: Warsaw Downtown Office, Poland; hybrid work with the option to work from home two days per week and regular office engagement.
Company
Procter & Gamble operates the AI Factory program and global multifunctional IT and Product Supply teams.
What you will do
Lead technical and architectural decisions for the Reusable AI team, including services, reusable components, and external contributions.
Collaborate with the project manager and stakeholders to translate user needs into business-aligned solutions.
Oversee AI service and infrastructure development, including translation services and templates for AI processing pipelines.
Integrate API backend capabilities and consolidate inherited services with IPA and GenAI teams.
Create and manage CI/CD pipelines and develop Python code for algorithmic processing, AI functionality, and ETL pipelines across cloud platforms.
Ensure cloud, network, firewall, security, usability, and infrastructure compatibility while participating in Scrum and Scaled Agile Framework collaboration.
Requirements
Very good Python development skills.
Knowledge of at least one cloud environment: Azure, GCP, or AWS.
Good knowledge of CI/CD processes.
Practical experience with test-driven development.
Experience using Docker.
Experience developing robust code for AI functionalities, algorithmic processing, and ETL pipelines across cloud platforms.
Ability to address network, firewall, security, and cloud infrastructure constraints.
Ability to lead technical decisions, assess team capacity, evaluate cost-effectiveness, and implement product adoption metrics.
Nice to have
Experience using Kubernetes as an applications developer.
Culture & Benefits
Project ownership and autonomy from day one.
Dynamic, encouraging, and inclusive work environment focused on agility and work-life balance.
Continuous mentoring, coaching, and corporate and functional training.
Industry certifications, private healthcare, sport cards, an in-office fitness center, stock options, savings plans, lunch subsidy, salary increases, and potential promotions.
Flexible work arrangements and participation in global multifunctional teams.
Employment is exclusively offered through a full-time employment contract under “Umowa o Pracę”.
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