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Business Planning Pricing Principal Ai Developers jobs at Google in Poland, Warsaw

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Poland
Warsaw
185 jobs found
09.11.2025
G

Google Software Engineer III Vertex AI Hybrid Cloud Poland, Masovian Voivodeship, Warsaw

Limitless High-tech career opportunities - Expoint
Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year...
Description:
Minimum qualifications:
  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  • 1 year of experience with Machine Learning (ML) infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:
  • Master's degree or PhD in Computer Science, or a related technical field.
  • 2 years of experience with data structures or algorithms.
  • 1 year of experience with scaling AI deployments.
  • Experience in deploying AI on Kubernetes clusters.
  • Knowledge of running Large Language Models (LLM) at scale in confidential compute configuration.
  • Understanding of how AI works and the requirements for running AI inference in a cluster.
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09.11.2025
G

Google AI Transformation Consultant Global Services Delivery Google... Poland, Masovian Voivodeship, Warsaw

Limitless High-tech career opportunities - Expoint
Bachelor’s degree or equivalent practical experience. 8 years of experience in management consulting, digital transformation, or a related field, with client-facing leadership capacity. Experience in managing Global customers and shaping...
Description:
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.
Minimum qualifications:
  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in management consulting, digital transformation, or a related field, with client-facing leadership capacity.
  • Experience in managing Global customers and shaping up business transformation with industry usecases.
  • Experience delivering cloud productivity suite migration or adoption programs with enterprise companies.

Preferred qualifications:
  • Experience in (e.g., Financial Services, Manufacturing, Healthcare) with a track record of applying modern collaboration technology to that specific domain to drive business outcomes.
  • Experience analyzing and interpreting adoption data and usage metrics to provide insights and course-correct OCM efforts.
  • Experience in developing cloud business cases and TCO analysis aligning the costs of a productivity suite (e.g., licensing, migration) to business value metrics (e.g., productivity gains).
  • Experience in a Product or Program Management role owning the end-to-end lifecycle of a complex employee experience or collaboration platform deployment.
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These jobs might be a good fit

08.11.2025
G

Google Software Engineer III AI/ML Google Cloud Poland, Masovian Voivodeship, Warsaw

Limitless High-tech career opportunities - Expoint
Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years...
Description:
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.
Minimum qualifications:
  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • 2 years of experience working with Generative AI, Vertex AI and Generative AI Agent.
  • 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:
  • Master's degree or PhD in Computer Science or a related technical field.
  • 2 years of experience with data structures or algorithms.
  • Experience architecting and developing software or infrastructure for scalable, distributed systems and with machine learning technologies.
  • Experience building scalable end-to-end software architectures that use agentic or GenAI driven capabilities.
  • Experience with Vertex Search.
  • Understanding of responsible AI practice.
Show more

These jobs might be a good fit

Limitless High-tech career opportunities - Expoint
Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year...
Description:
Minimum qualifications:
  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  • 1 year of experience with Machine Learning (ML) infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:
  • Master's degree or PhD in Computer Science, or a related technical field.
  • 2 years of experience with data structures or algorithms.
  • 1 year of experience with scaling AI deployments.
  • Experience in deploying AI on Kubernetes clusters.
  • Knowledge of running Large Language Models (LLM) at scale in confidential compute configuration.
  • Understanding of how AI works and the requirements for running AI inference in a cluster.
Show more
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