Machine Learning Engineer (GenAI / GCP)
⚲ Warszawa
180–210 zł netto (+ VAT) / godz.
Wymagania
- Python
- Google Cloud Platform
- Kafka
- Terraform
- GenAI
Opis stanowiska
Nasze wymagania:
Proven experience in Machine Learning Engineering, including deploying production ML systems.
Hands-on experience building GenAI applications and workflows.
Practical experience with the GCP Agent Platform.
Strong Python programming skills and experience writing maintainable, testable code.
Experience with Google Cloud Platform services and architecture patterns.
Experience with Kafka or comparable streaming systems.
Familiarity with Google ADK 2.0 and infrastructure-as-code tools such as Terraform.
Demonstrated automation expertise and experience delivering production-ready cloud solutions.
Understanding of product data models and experience applying them to content and business rules.
Experience implementing quality assurance processes for AI-generated content.
Technical Skills:
Python
Google Cloud Platform (GCP)
GCP Agent Platform
Google ADK 2.0
Kafka
Terraform
GenAI and Machine Learning
Automation and CI/CD practices
O projekcie:
We are seeking a Machine Learning Engineer (GenAI / GCP) to support the development and scaling of GenAI-powered content production and discovery solutions. The person in this role will design and deliver production-ready, automated workflows for home ideas, outfits, and themed pages, enabling faster content generation, article curation, product selection, and quality assurance. The role involves working with modern cloud technologies and GenAI solutions, building scalable automation on Google Cloud Platform (GCP), and contributing to intelligent content discovery processes.
Zakres obowiązków:
Scale content production pipelines for home ideas, outfits, and themed pages.
Design and evaluate alternative approaches for article curation and product selection.
Implement and maintain business rules that leverage product data to guide content decisions.
Develop automated quality assurance processes for GenAI-generated content.
Support development and integration of workflows on the GCP Agent Platform.
Develop scalable, production-ready machine learning and automation solutions.
Continuously improve content generation and discovery processes using GenAI technologies and best practices.
Oferujemy:
Opportunity to work with advanced GenAI technologies and modern cloud infrastructure.
Participation in end-to-end development of production-grade automation and discovery systems.
Remote work
Collaboration with cross-functional teams on scalable, high-impact projects.
Unique TEAL culture, relationship- and respect-driven community, non-corporate atmosphere.
Agile approach and no bureaucracy.
Outstanding integration trips to various places in Europe.
Activities to support your well-being and health.
Luxmed Gold Extended medical care and Multisport Plus benefit.
Proven experience in Machine Learning Engineering, including deploying production ML systems.
Hands-on experience building GenAI applications and workflows.
Practical experience with the GCP Agent Platform.
Strong Python programming skills and experience writing maintainable, testable code.
Experience with Google Cloud Platform services and architecture patterns.
Experience with Kafka or comparable streaming systems.
Familiarity with Google ADK 2.0 and infrastructure-as-code tools such as Terraform.
Demonstrated automation expertise and experience delivering production-ready cloud solutions.
Understanding of product data models and experience applying them to content and business rules.
Experience implementing quality assurance processes for AI-generated content.
Technical Skills:
Python
Google Cloud Platform (GCP)
GCP Agent Platform
Google ADK 2.0
Kafka
Terraform
GenAI and Machine Learning
Automation and CI/CD practices
O projekcie:
We are seeking a Machine Learning Engineer (GenAI / GCP) to support the development and scaling of GenAI-powered content production and discovery solutions. The person in this role will design and deliver production-ready, automated workflows for home ideas, outfits, and themed pages, enabling faster content generation, article curation, product selection, and quality assurance. The role involves working with modern cloud technologies and GenAI solutions, building scalable automation on Google Cloud Platform (GCP), and contributing to intelligent content discovery processes.
Zakres obowiązków:
Scale content production pipelines for home ideas, outfits, and themed pages.
Design and evaluate alternative approaches for article curation and product selection.
Implement and maintain business rules that leverage product data to guide content decisions.
Develop automated quality assurance processes for GenAI-generated content.
Support development and integration of workflows on the GCP Agent Platform.
Develop scalable, production-ready machine learning and automation solutions.
Continuously improve content generation and discovery processes using GenAI technologies and best practices.
Oferujemy:
Opportunity to work with advanced GenAI technologies and modern cloud infrastructure.
Participation in end-to-end development of production-grade automation and discovery systems.
Remote work
Collaboration with cross-functional teams on scalable, high-impact projects.
Unique TEAL culture, relationship- and respect-driven community, non-corporate atmosphere.
Agile approach and no bureaucracy.
Outstanding integration trips to various places in Europe.
Activities to support your well-being and health.
Luxmed Gold Extended medical care and Multisport Plus benefit.
🔍 Dekoder Ogłoszenia
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Proven experience in Machine Learning Engineering, including deploying production ML systems.
Oczekuje się, że kandydat ma udokumentowane sukcesy w wdrażaniu systemów uczenia maszynowego w środowisku produkcyjnym, a nie tylko teoretyczną wiedzę.
🔴
Hands-on experience building GenAI applications and workflows.
Szukają kogoś, kto faktycznie tworzył i wdrażał rozwiązania oparte na GenAI, a nie tylko zna teorię.
🔴
Practical experience with the GCP Agent Platform.
Wymagane jest praktyczne doświadczenie z konkretną, być może niszową, platformą Google Cloud, co może oznaczać potrzebę szybkiego uczenia się lub specyficzne wymagania projektowe.
🔴
Demonstrated automation expertise and experience delivering production-ready cloud solutions.
Oczekuje się nie tylko umiejętności automatyzacji, ale także udowodnionego sukcesu w dostarczaniu gotowych do produkcji rozwiązań chmurowych, co może sugerować wysokie standardy jakości i niezawodności.
🔴
Experience implementing quality assurance processes for AI-generated content.
Kandydat musi mieć doświadczenie w tworzeniu i wdrażaniu procesów zapewnienia jakości dla treści generowanych przez AI, co może być nowym i wymagającym obszarem.