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Amazon: ML Engineer, Generative AI Innovation Center (Warszawa)

ML Engineer, Generative AI Innovation Center

Bezpośrednia
  • Amazon
  • Warszawa
  • 30.10.2025

Podsumowanie oferty:

  • Branża

    Handel detaliczny / E-commerce
  • Rodzaj umowy

    UoP
  • Doświadczenie

    Mid
  • Technologie i Narzędzia

    AWS, Python, Deep learning, Machine learning, AI technologies, Large Language Models, LLM Customization, ML library, Software Development, AI models

Opis oferty:

The Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency. As an ML Engineer on our team, you will work with clients, partners and other AWS teams to drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.

Wymagania:

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture of new and existing systems experience
  • Experience programming with at least one software programming language
  • Hands-on experience with deep learning and/or machine learning methods
  • Hands-on experience with generative AI technology

Dodatki i korzyści:

  • Diverse Experiences: AWS values diverse experiences and encourages candidates from varied backgrounds to apply
  • Inclusive Team Culture: Culture of inclusion and diversity empowerment, ongoing events and learning experiences
  • Mentorship & Career Growth: Knowledge-sharing, mentorship, and resources to support professional development
  • Work/Life Balance: Flexibility and supportive working culture
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