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 Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at AWS. You will work closely with customers to design, implement, and manage AWS solutions that meet technical requirements and business objectives, driving customer success through their cloud journey with 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, focusing on 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 (data pre-processing, training, deep learning, fine tuning, inferences) or data science experience 8+ years of coding, data querying languages (e.g., SQL), scripting languages (e.g., Python) Preferred Qualifications
PhD or MS in Computer Science or related technical field (or equivalent experience) Knowledge of AWS platform and tools; proficiency in AWS services (e.g., SageMaker, Bedrock, EMR, S3, OpenSearch, Step Functions, Lambda, EC2) AWS Professional-level certifications (Solutions Architect Professional, DevOps Engineer Professional, ML 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 to explain technical concepts to technical and non-technical audiences Amazon is an equal opportunity employer and does not discriminate on protected status. The position may include location-specific compliance notices where applicable. For accommodations during the application process, please visit amazon.jobs accommodations.
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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 AWS. You will work closely with customers to design, implement, and manage AWS solutions that meet technical requirements and business objectives, driving customer success through their cloud journey with 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, focusing on 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 (data pre-processing, training, deep learning, fine tuning, inferences) or data science experience 8+ years of coding, data querying languages (e.g., SQL), scripting languages (e.g., Python) Preferred Qualifications
PhD or MS in Computer Science or related technical field (or equivalent experience) Knowledge of AWS platform and tools; proficiency in AWS services (e.g., SageMaker, Bedrock, EMR, S3, OpenSearch, Step Functions, Lambda, EC2) AWS Professional-level certifications (Solutions Architect Professional, DevOps Engineer Professional, ML 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 to explain technical concepts to technical and non-technical audiences Amazon is an equal opportunity employer and does not discriminate on protected status. The position may include location-specific compliance notices where applicable. For accommodations during the application process, please visit amazon.jobs accommodations.
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