דרושים Data Scientist Aws Gen Ai Innovation Center ב-אמזון ב-Brazil, São Paulo, São Paulo

Key job responsibilities
- Design and implement frameworks and solutions that enable seamless integration of GenAI technologies into existing products and development workflows enhancing productivity- Establish best practices and guidelines for GenAI development and usage across the organization
- Develop reference architectures and technical guidelines for GenAI feature integration
- Drive adoption of GenAI solutions through technical demonstrations, workshops, and documentation- Evaluate and optimize the performance, security, and cost-effectiveness of GenAI-powered solutions

- Professional software development experience with focusing on AI/ML technologies
- Design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience with programming with at least one software programming language
- Experience with GenAI platforms and services (e.g., Anthropic, Bedrock, OpenAI) Experience with Prompt Engineering and AI Agents
- Experience with LLM/SLM frameworks (e.g., LangChain, LlamaIndex)
- Excellent communication skills with ability to explain complex technical concepts
- Experience with building and maintaining scalable MLOps pipelines

- Years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree or Master's degree in Computer Science, Engineering, Mathematics or equivalent
- Experience with Data Engineering pipelines, including Vector Databases (e.g., OpenSearch, PGVector)
- Contributions to open-source AI projects

This is a customer facing role where success is measured by developing a high performing team of consultants who help enable our customers in moving their workloads and regulated data into the cloud by addressing specific risk, regulatory, and compliance requirements.
Key job responsibilities
- Delivery – Engagements will require working to resolve security assurance questions and to understand how to manage risk and achieve compliance while operating in the AWS Cloud through deep dive discussions, strategic presentations/recommendations, and hands on demonstrations of automating compliance in the AWS environment.Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 10+ years of IT consulting/management with IT Transformation in customer-facing roles experience
- 3+ years of program or engagement management work leading other project managers to deliver a program with multiple and concurrent projects experience
- Bachelor's degree in Computer Science, Math, or a related field
- Knowledge of infrastructure-as-a-service (IaaS) cloud computing transition challenges
- Experience in enterprise architecture including virtualization technologies & distributed architecture

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.Key job responsibilities
As an experienced technology professional, you will be responsible for:1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

8+ years of experience in cloud architecture and implementation.Bachelor’s degree in computer science, engineering, or related field.1+ year experience working with technologies related to large language models including LLM architectures, model evaluation, adapters, model customization including pre-training and fine-tuning techniques.7+ years professional experience in software development in languages related to ML like Python or Java. Experience working with RESTful API and general service-oriented architecture as well as to machine learning, deep learning, NLP, CV, GNN, or distributed training.10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.

AWS experience preferred, with proficiency in a wide range of AWS services (e.g.; EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)AWS Professional level certifications (e.g., Solutions Architect, DevOps Engineer Professional) preferredExperience with automation and scripting (e.g.,Terraform, Pyhton)Knowledge of security and compliance standards (e.g., HIPAA, GDPR)Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiencesPhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field.Spanish B2+ is a plus

Key job responsibilities
About youYour Responsibilities
- Define and own complex machine learning solutions in the consumer space, including targeting, measurement, creative optimization, and multivariate testing.
- Advise leadership, both tech and non-tech.
- Support technical trade-offs between short-term needs and long-term goals.

- 3+ years of building models for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience using Unix/Linux
- Experience in professional software development
- Master's degree or above in computer science, machine learning, engineering, or related fields

Key job responsibilities
• Diving deep into customer segment needs and goals to develop targeted enablement strategies
• Collaborating with field sales teams to understand and address customer challenges
• Leading consultative teams that drive cloud adoption and innovation across global customers
• Through close partnership with Strategy and Operations teams, designing both customized and standardized solutions that accelerate our customers' cultural and technological transformation.
• Taking ownership of all programmatic activities for customer engagements including planning, reporting and risk mitigation
• Crafting monthly and quarterly business reviews to AWS leadership to surface key business insightsA day in the life
In this role, you'll be instrumental in helping organizations navigate their cloud journey by developing and implementing comprehensive training and enablement solutions that drive meaningful business outcomes.About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 10+ years of building and leading large teams and working in matrixed operating structures experience
- Bachelor's degree or equivalent
- Experience working and communicating with multiple stakeholders, C-level executives and cross functional teams or equivalent
- Experience in strategic thinking about business, enterprise software products, and new technology platforms and architectures or equivalent

- 5+ years of managing and developing high performance teams experience

Key job responsibilities
- Design and implement frameworks and solutions that enable seamless integration of GenAI technologies into existing products and development workflows enhancing productivity- Establish best practices and guidelines for GenAI development and usage across the organization
- Develop reference architectures and technical guidelines for GenAI feature integration
- Drive adoption of GenAI solutions through technical demonstrations, workshops, and documentation- Evaluate and optimize the performance, security, and cost-effectiveness of GenAI-powered solutions

- Professional software development experience with focusing on AI/ML technologies
- Design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience with programming with at least one software programming language
- Experience with GenAI platforms and services (e.g., Anthropic, Bedrock, OpenAI) Experience with Prompt Engineering and AI Agents
- Experience with LLM/SLM frameworks (e.g., LangChain, LlamaIndex)
- Excellent communication skills with ability to explain complex technical concepts
- Experience with building and maintaining scalable MLOps pipelines

- Years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree or Master's degree in Computer Science, Engineering, Mathematics or equivalent
- Experience with Data Engineering pipelines, including Vector Databases (e.g., OpenSearch, PGVector)
- Contributions to open-source AI projects

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.Key job responsibilities
• Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
• Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
• Provide customer and market feedback to product and engineering teams to help define product direction
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 3+ years of experience in designing, building, and/or operating cloud solutions in a production environment
- 2+ year experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 2+ years of hands on experience with Python to build, train, and evaluate models
- 2+ years of technical client engagement experience
- Ability to communicate in a business setting in English

- Masters or PhD degree in computer science, or related technical, math, or scientific field
- Strong working knowledge of deep learning, machine learning, generative AI, and statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWS