Amazon Web Services (AWS)

About the Company

Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.

Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.

Listed Jobs

Company Name

Amazon Web Services (AWS)

Job Title

Data Scientist, Generative AI Innovation Center

Job Description

**Job Title:** Data Scientist, Generative AI Innovation Center **Role Summary:** Collaborate with cross-functional teams and customers to design, implement, and scale generative AI solutions for complex real-world challenges. Focus on innovation, technical guidance, and strategic implementation to drive business impact. **Expectations:** Hands-on AI/ML research, customer-facing technical engagement, and development of scalable generative AI solutions. Requires problem-solving for unsolved issues and communication of technical concepts to diverse stakeholders. **Key Responsibilities:** - Partner with AI/ML scientists, architects, and engineers to research, design, and evaluate generative AI solutions. - Advise customers on AI implementation, define adoption strategies, and support production deployment. - Develop educational resources (tutorials, code samples, presentations) tailored to technical and business audiences. - Translate customer and market insights into product improvements for AI/ML platforms. **Required Skills:** - Generative AI and large language model expertise; hands-on experience with algorithms like GANs, transformers, or diffusion models. - Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). - 2+ years of experience in technical client engagement. - 2+ years in algorithms, data structures, optimization, or deep learning. **Required Education & Certifications:** - Bachelor’s degree in computer science, engineering, or related quantitative field with 5 years of experience; or Master’s with 2 years of experience. - Proven project experience in applied ML/AI, including end-to-end solution development.

New york, United states

On site

Mid level

10-09-2025

Company Name

Amazon Web Services (AWS)

Job Title

Machine Learning Engineer, Generative AI Innovation Center

Job Description

Job Title: Machine Learning Engineer, Generative AI Innovation Center Role Summary: Designs, fine-tunes, and optimizes Large Language Models (LLMs) for diverse languages, domains, and modalities. Collaborates with customers to deploy high-performance generative AI solutions using AWS hardware and frameworks. Expactations: 3+ years professional software development experience; 2+ years in system design/architecture; hands-on deep learning/machine learning; experience with generative AI; proficiency in at least one programming language. Key Responsibilities: Design distributed LLM training pipelines using FSDP/DeepSpeed; fine-tune models for new languages/domains via pre-training, fine-tuning, and RLHF; optimize AI models for AWS Inferentia/Trainium with Neuron SDK; co-develop tailored generative AI solutions with enterprise clients and model providers. Required Skills: Deep learning methods (training/fine-tuning); FSDP, DeepSpeed, Neuron SDK; generative AI technologies; model optimization for AI accelerators; ML frameworks (e.g., TensorFlow, PyTorch). Required Education & Certifications: Bachelor’s degree in Computer Science or equivalent (preferred).

Seattle, United states

On site

Junior

10-09-2025

Company Name

Amazon Web Services (AWS)

Job Title

2025 Security Specialist Intern, DC Security

Job Description

**Job Title:** Security Specialist Intern **Role Summary:** Drives operational security excellence in data centers by analyzing security operations, generating reports, and collaborating with management on physical security strategies. **Expectations:** Full-time 12-week internship (40 hours/week), daily onsite presence; no immigration sponsorship provided. **Key Responsibilities:** - Interface with vendors for security construction, repairs, and operational planning. - Analyze operational data to identify performance metrics and improvements. - Recommend enhancements to electronic surveillance and access control systems. - Educate data center occupants on reducing false alarms and optimizing procedures. - Prepare reports and presentations on security status and initiatives. **Required Skills:** - Proficiency in report writing and data analysis. - Knowledge of security systems, protocols, and risk management practices. - Ability to identify gaps in physical security and implement solutions. - Strong communication skills for cross-functional collaboration. **Required Education & Certifications:** - Currently pursuing or holds a Bachelor’s degree in Security, Risk Management, Criminology/Criminal Justice, or related field. - No certifications specified as required.

Paris, France

On site

Fresher

14-09-2025

Company Name

Amazon Web Services (AWS)

Job Title

Account Manager, CS-EMEA FRANCE SALES

Job Description

Courbevoie, France

On site

19-09-2025