Amazon Web Services (AWS)
Delivery Consultant- GenAI/ML, AWS, Industries
Amazon Web Services (AWS), Seattle, Washington, us, 98127
Overview
Delivery Consultant- GenAI/ML, AWS, Industries Join to apply for the Delivery Consultant- GenAI/ML, AWS, Industries role at Amazon Web Services (AWS). The AWS Industries Team helps AWS customers implement Generative AI solutions and realize transformational business opportunities in strategic industry verticals. This is a team of architects, data scientists, and engineers working with customers to build bespoke solutions harnessing generative AI. In this role, you will work closely with customers to design, implement, and manage AWS solutions that meet technical requirements and business objectives. Key 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: Diverse experiences are valued. If you do not meet all preferred qualifications, we encourage you to apply. AWS is the world’s most comprehensive and broadly adopted cloud platform. Inclusive team culture and mentorship are emphasized, with resources to support career growth and work-life balance. We are a global organization that helps customers realize business outcomes using the AWS Cloud, working with customer teams and the AWS Partner Network (APN) to execute enterprise cloud adoption initiatives. Basic qualifications
Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience) 3+ years of cloud-based solution (AWS or equivalent), system, network and operating system experience 2+ years of experience hosting and deploying GenAI/ML solutions (e.g., training, fine-tuning, inferences) 3+ years of experience developing software code in one or more programming languages (e.g., Java, Python) Preferred qualifications
Masters or PhD degree in computer science or related technical field Strong working knowledge of deep learning, machine learning, and statistics AWS experience with a range of services (e.g., SageMaker, Bedrock, EMR, S3, OpenSearch, Step Functions, Lambda, EC2) Hands-on experience with deep learning (CNN, RNN, LSTM, Transformer), machine learning, computer vision, graph neural networks, or distributed training Strong communication skills with ability to convey complex concepts to non-experts AWS Professional level certifications preferred (e.g., Solutions Architect Professional, DevOps Engineer Professional) Knowledge of security and compliance standards (e.g., HIPAA, GDPR) 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 workplace accommodation, see the accommodations information at the company site.
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Delivery Consultant- GenAI/ML, AWS, Industries Join to apply for the Delivery Consultant- GenAI/ML, AWS, Industries role at Amazon Web Services (AWS). The AWS Industries Team helps AWS customers implement Generative AI solutions and realize transformational business opportunities in strategic industry verticals. This is a team of architects, data scientists, and engineers working with customers to build bespoke solutions harnessing generative AI. In this role, you will work closely with customers to design, implement, and manage AWS solutions that meet technical requirements and business objectives. Key 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: Diverse experiences are valued. If you do not meet all preferred qualifications, we encourage you to apply. AWS is the world’s most comprehensive and broadly adopted cloud platform. Inclusive team culture and mentorship are emphasized, with resources to support career growth and work-life balance. We are a global organization that helps customers realize business outcomes using the AWS Cloud, working with customer teams and the AWS Partner Network (APN) to execute enterprise cloud adoption initiatives. Basic qualifications
Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience) 3+ years of cloud-based solution (AWS or equivalent), system, network and operating system experience 2+ years of experience hosting and deploying GenAI/ML solutions (e.g., training, fine-tuning, inferences) 3+ years of experience developing software code in one or more programming languages (e.g., Java, Python) Preferred qualifications
Masters or PhD degree in computer science or related technical field Strong working knowledge of deep learning, machine learning, and statistics AWS experience with a range of services (e.g., SageMaker, Bedrock, EMR, S3, OpenSearch, Step Functions, Lambda, EC2) Hands-on experience with deep learning (CNN, RNN, LSTM, Transformer), machine learning, computer vision, graph neural networks, or distributed training Strong communication skills with ability to convey complex concepts to non-experts AWS Professional level certifications preferred (e.g., Solutions Architect Professional, DevOps Engineer Professional) Knowledge of security and compliance standards (e.g., HIPAA, GDPR) 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 workplace accommodation, see the accommodations information at the company site.
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