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
Application deadline: Jan 16, 2026.
Join to apply for the Delivery Consultant – GenAI/ML & Data Science, AWS Industries role at Amazon Web Services (AWS).
Below is an overview of the role, responsibilities, and qualifications.
Key Responsibilities
Design, implement, and build complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs.
Provide technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services.
Collaborate with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies.
Act as a trusted advisor to customers on industry trends and emerging technologies.
Mentor and train within the organization, creating reusable artifacts.
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 and system, network and operating system experience.
5+ years of experience hosting and deploying GenAI/ML solutions or 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; proficiency in a wide range of AWS services (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).
Hands on experience with deep learning (CNN, RNN, LSTM, Transformer), computer vision, GNN, distributed training.
Experience with coding, automation and scripting (Terraform, Python).
Strong communication skills, able to explain technical concepts to both technical and non-technical audiences.
Benefits and Compensation Base pay ranges: Colorado $131,300 - $177,600 annually / hourly, National $118,200 - $204,300 annually / hourly. Additional benefits include health insurance, 401(k) matching, paid time off, parental leave, etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
For application details, refer to the official Amazon Careers page.
#J-18808-Ljbffr
Join to apply for the Delivery Consultant – GenAI/ML & Data Science, AWS Industries role at Amazon Web Services (AWS).
Below is an overview of the role, responsibilities, and qualifications.
Key Responsibilities
Design, implement, and build complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs.
Provide technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services.
Collaborate with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies.
Act as a trusted advisor to customers on industry trends and emerging technologies.
Mentor and train within the organization, creating reusable artifacts.
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 and system, network and operating system experience.
5+ years of experience hosting and deploying GenAI/ML solutions or 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; proficiency in a wide range of AWS services (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).
Hands on experience with deep learning (CNN, RNN, LSTM, Transformer), computer vision, GNN, distributed training.
Experience with coding, automation and scripting (Terraform, Python).
Strong communication skills, able to explain technical concepts to both technical and non-technical audiences.
Benefits and Compensation Base pay ranges: Colorado $131,300 - $177,600 annually / hourly, National $118,200 - $204,300 annually / hourly. Additional benefits include health insurance, 401(k) matching, paid time off, parental leave, etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
For application details, refer to the official Amazon Careers page.
#J-18808-Ljbffr