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Applied Scientist

2 mesi fa

Milano, Lombardia, Italia AWS EMEA SARL (Italy Branch) - G99 A tempo pieno
Role Overview

At AWS EMEA SARL, we recognize the pivotal role of machine learning (ML) in driving innovation and efficiency across various sectors. Our commitment to pioneering technologies has established us as leaders in fields such as recommendation systems, product search, and fraud detection.

The Generative AI team is dedicated to empowering AWS clients to harness the potential of Generative AI, addressing both operational and strategic challenges while fostering innovation.

Key Responsibilities

As an Applied Scientist, you will:

  • Design, develop, and assess cutting-edge ML models tailored to diverse industry challenges.
  • Engage directly with clients to identify their business needs and assist in implementing scalable Generative AI solutions.
  • Collaborate with account teams, research scientists, and product engineers to facilitate model deployment and develop new solutions.
About the Team

Our team is instrumental in guiding clients to envision and define use cases that deliver maximum value. We assist in selecting and refining appropriate models, navigating technical and business challenges, and developing proof-of-concept projects.

The Generative AI Innovation Center is committed to providing best practices for the responsible and efficient application of Generative AI technologies.

Diversity and Inclusion

At Amazon, we celebrate diverse experiences. We encourage candidates from all backgrounds to apply, regardless of whether they meet every qualification listed.

Why Choose AWS

Amazon Web Services (AWS) stands as the most comprehensive and widely adopted cloud platform globally. Our history of innovation has made us the trusted partner for businesses ranging from startups to Fortune 500 companies.

Work-Life Harmony

We prioritize a healthy work-life balance, ensuring that success at work does not come at the expense of personal well-being. Flexible work arrangements are integral to our culture.

Inclusive Culture

At AWS, we foster a culture of curiosity and learning. Our employee-led affinity groups promote inclusion and celebrate our differences through various events and learning opportunities.

Career Development

We are committed to continuous improvement and mentorship, providing resources to help you grow into a well-rounded professional.

Basic Qualifications
  • Extensive experience in developing models for business applications.
  • PhD or Master's degree in Computer Science, Engineering, Machine Learning, or a related field.
  • Proven track record of patents or publications in top-tier conferences or journals.
  • Proficiency in programming languages such as Java, C++, or Python.
  • Experience in algorithms, data structures, numerical optimization, and high-performance computing.
  • Familiarity with neural networks and machine learning methodologies.
Preferred Qualifications
  • Experience in professional software development.
  • PhD in a quantitative field such as computer science or operations research.
  • Hands-on experience with deep learning frameworks like TensorFlow or PyTorch.
  • Strong communication skills with the ability to explain complex concepts to non-experts.
  • Adept at thriving in a fast-paced, collaborative environment.