Amazon Web Services (AWS)
Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industr
Amazon Web Services (AWS), New York, New York, us, 10261
Overview
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you\'ll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You\'ll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, you will architect complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You\'ll gather requirements, assess current infrastructure, and propose effective migration strategies to AWS, acting as a trusted advisor on industry trends and emerging technologies. You will lead the implementation process, ensure adherence to best practices, optimize performance, and manage risks throughout the project. Responsibilities
Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies Acting as a trusted advisor to customers on industry trends and emerging technologies Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the Team
We are the AWS ProServe organization, a global team of experts helping customers realize their desired business outcomes with the AWS Cloud. We collaborate with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives, delivering focused guidance through our global specialty practices across various solutions, technologies, and industries. Basic Qualifications
8+ years of cloud-based solution (AWS or equivalent), system, network and operating system experience 5+ years of experience hosting and deploying GenAI/ML solutions or Data Science experience (data pre-processing, training, deep learning, fine tuning, inferences) 8+ years of coding, data querying languages (e.g., SQL), scripting languages (e.g., Python) Preferred Qualifications
PhD or Masters of Science in Computer Science or related field (or equivalent experience) Knowledge of AWS platform and tools; proficiency across AWS services (e.g., SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, EC2) AWS Professional certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty) preferred Hands-on experience with deep learning (CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training Experience with Data Analytics, Data Engineering, Coding, Automation and Scripting (e.g., Terraform, Python) Strong communication skills to explain technical concepts to technical and non-technical audiences Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
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The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you\'ll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You\'ll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, you will architect complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You\'ll gather requirements, assess current infrastructure, and propose effective migration strategies to AWS, acting as a trusted advisor on industry trends and emerging technologies. You will lead the implementation process, ensure adherence to best practices, optimize performance, and manage risks throughout the project. Responsibilities
Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies Acting as a trusted advisor to customers on industry trends and emerging technologies Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the Team
We are the AWS ProServe organization, a global team of experts helping customers realize their desired business outcomes with the AWS Cloud. We collaborate with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives, delivering focused guidance through our global specialty practices across various solutions, technologies, and industries. Basic Qualifications
8+ years of cloud-based solution (AWS or equivalent), system, network and operating system experience 5+ years of experience hosting and deploying GenAI/ML solutions or Data Science experience (data pre-processing, training, deep learning, fine tuning, inferences) 8+ years of coding, data querying languages (e.g., SQL), scripting languages (e.g., Python) Preferred Qualifications
PhD or Masters of Science in Computer Science or related field (or equivalent experience) Knowledge of AWS platform and tools; proficiency across AWS services (e.g., SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, EC2) AWS Professional certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty) preferred Hands-on experience with deep learning (CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training Experience with Data Analytics, Data Engineering, Coding, Automation and Scripting (e.g., Terraform, Python) Strong communication skills to explain technical concepts to technical and non-technical audiences Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
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