Amazon Web Services (AWS)
Delivery Consultant- GenAI/ML, AWS, Industries
Amazon Web Services (AWS), Chicago, Illinois, United States, 60290
Delivery Consultant - GenAI/ML, AWS, Industries
In this role, you will work with the Amazon Web Services Professional Services (ProServe) team to design, implement, and manage AWS solutions that meet technical requirements and business objectives. You will be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. You will architect complex, scalable, and secure GenAI/ML solutions on AWS tailored to customer needs, and work closely with stakeholders to gather requirements and propose effective migration and deployment strategies. As a trusted advisor, you will share knowledge on industry trends and emerging technologies and mentor others as needed.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We collaborate with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives and deliver focused guidance through our global specialty practices.
Key job 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 and AWS About AWS: We value diverse experiences and encourage candidates to apply even if you do not meet all preferred qualifications. AWS aims to foster an inclusive team culture, mentorship, work-life balance, and ongoing learning opportunities. We strive to be Earth’s Best Employer and support flexible working arrangements where possible.
Basic Qualifications
5+ years of cloud-based solution (AWS or equivalent), system, network and operating system experience
5+ years of experience hosting and deploying GenAI/ML solutions (e.g., data pre-processing, training, deep learning, fine tuning, inferences) or/and Data Science experience
5+ 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 technical/scientific field (or equivalent experience)
Knowledge of AWS platform and tools; proficiency in AWS services (e.g., SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, EC2)
AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty) preferred
Hands-on experience with deep learning (CNN, RNN, LSTM, Transformer), ML, CV, GNN, or distributed training
Experience with Data Engineering, Data Analytics, Coding, Automation and Scripting (e.g., Terraform, Python)
Strong communication skills with the ability to explain technical concepts to both 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, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company
- Amazon Web Services, Inc.
Job ID: A3086588
Information on this listing and related roles is provided for context and may reflect multiple postings across locations and times.
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The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We collaborate with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives and deliver focused guidance through our global specialty practices.
Key job 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 and AWS About AWS: We value diverse experiences and encourage candidates to apply even if you do not meet all preferred qualifications. AWS aims to foster an inclusive team culture, mentorship, work-life balance, and ongoing learning opportunities. We strive to be Earth’s Best Employer and support flexible working arrangements where possible.
Basic Qualifications
5+ years of cloud-based solution (AWS or equivalent), system, network and operating system experience
5+ years of experience hosting and deploying GenAI/ML solutions (e.g., data pre-processing, training, deep learning, fine tuning, inferences) or/and Data Science experience
5+ 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 technical/scientific field (or equivalent experience)
Knowledge of AWS platform and tools; proficiency in AWS services (e.g., SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, EC2)
AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty) preferred
Hands-on experience with deep learning (CNN, RNN, LSTM, Transformer), ML, CV, GNN, or distributed training
Experience with Data Engineering, Data Analytics, Coding, Automation and Scripting (e.g., Terraform, Python)
Strong communication skills with the ability to explain technical concepts to both 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, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company
- Amazon Web Services, Inc.
Job ID: A3086588
Information on this listing and related roles is provided for context and may reflect multiple postings across locations and times.
#J-18808-Ljbffr