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
Delivery Consultant- GenAI/ML & Data Science, Professional Services, 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, driving customer success through their 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 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
Qualifications 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., for data pre-processing, training, deep learning, fine tuning, and inferences) or Data Science experience
8+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)
Preferred Qualifications
PhD or Masters of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
Knowledge of AWS platform and tools or equivalent cloud experience. Proficiency in a wide range of 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 (e.g., 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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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, driving customer success through their 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 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
Qualifications 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., for data pre-processing, training, deep learning, fine tuning, and inferences) or Data Science experience
8+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)
Preferred Qualifications
PhD or Masters of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
Knowledge of AWS platform and tools or equivalent cloud experience. Proficiency in a wide range of 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 (e.g., 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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