Amazon Web Services (AWS)
Delivery Consultant- GenAI/ML & Data Science, AWS, Industries
Amazon Web Services (AWS), Santa Monica, California, United States, 90403
Delivery Consultant- GenAI/ML & Data Science, AWS, Industries
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. 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. 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 work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. 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: Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Basic Qualifications: Experience developing software code in one or more programming languages (java, python, etc.) PhD or Masters of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience) 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., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience 5+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python) Preferred Qualifications: Knowledge of AWS platform and tools or equivalent cloud experience. Ideally, the candidate has AWS Experience with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2) AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty) preferred Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training Experience with 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.
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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. 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. 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 work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. 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: Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Basic Qualifications: Experience developing software code in one or more programming languages (java, python, etc.) PhD or Masters of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience) 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., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience 5+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python) Preferred Qualifications: Knowledge of AWS platform and tools or equivalent cloud experience. Ideally, the candidate has AWS Experience with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2) AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty) preferred Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training Experience with 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.
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