Amazon Web Services (AWS)
Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industr
Amazon Web Services (AWS), Arlington, Virginia, United States, 22201
Overview
Delivery Consultant - GenAI/ML & Data Science, Professional Services, AWS Industries. The AWS Professional Services (ProServe) team seeks a Delivery Consultant to design, implement, and manage AWS solutions that meet customers’ technical requirements and business objectives. You will drive customer success through the cloud journey, providing technical expertise and best practices throughout the project lifecycle. Responsibilities
Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models 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 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 (e.g., data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science experience 8+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python) Preferred Qualifications
PhD or Master's degree in Computer Science or related technical field (or equivalent experience) Knowledge of AWS platform and tools or equivalent cloud experience; proficiency in 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 with the ability to explain technical concepts to both technical and non-technical audiences EEO Information
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you need a workplace accommodation during the application or hiring process, including support for the interview or onboarding, please visit the AWS accommodations page for more information. This position will remain posted until filled. The base pay range for this position varies by geographic market and may be supplemented by additional compensation such as equity or sign-on bonuses. For more information, please visit the AWS benefits page. Company: Amazon Web Services, Inc. Job ID: A3054283
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Delivery Consultant - GenAI/ML & Data Science, Professional Services, AWS Industries. The AWS Professional Services (ProServe) team seeks a Delivery Consultant to design, implement, and manage AWS solutions that meet customers’ technical requirements and business objectives. You will drive customer success through the cloud journey, providing technical expertise and best practices throughout the project lifecycle. Responsibilities
Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models 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 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 (e.g., data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science experience 8+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python) Preferred Qualifications
PhD or Master's degree in Computer Science or related technical field (or equivalent experience) Knowledge of AWS platform and tools or equivalent cloud experience; proficiency in 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 with the ability to explain technical concepts to both technical and non-technical audiences EEO Information
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you need a workplace accommodation during the application or hiring process, including support for the interview or onboarding, please visit the AWS accommodations page for more information. This position will remain posted until filled. The base pay range for this position varies by geographic market and may be supplemented by additional compensation such as equity or sign-on bonuses. For more information, please visit the AWS benefits page. Company: Amazon Web Services, Inc. Job ID: A3054283
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