Amazon Web Services (AWS)
Delivery Consultant- GenAI/ML, AWS, Industries
Amazon Web Services (AWS), Seattle, Washington, us, 98127
Overview
Delivery Consultant - GenAI/ML, AWS, Industries. Join AWS Professional Services to design, implement, and manage AWS solutions that meet technical requirements and business objectives. You will work with customers to architect complex, scalable, and secure GenAI/ML solutions on AWS, guiding model training, building, and deployment strategies, and sharing industry and technology insights as a trusted advisor. Key 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 Basic Qualifications
Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience) 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience 2+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences) 3+ years experience developing software code in one or more programming languages (java, python, etc.) Preferred Qualifications
Masters or PhD degree in computer science, or related technical, math, or scientific field Strong working knowledge of deep learning, machine learning and statistics AWS Experience preferred, with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2) Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred Knowledge of security and compliance standards (e.g., HIPAA, GDPR) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. For applicants in Los Angeles County, job duties include maintaining safety, effective communication, and adherence to policies. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
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Delivery Consultant - GenAI/ML, AWS, Industries. Join AWS Professional Services to design, implement, and manage AWS solutions that meet technical requirements and business objectives. You will work with customers to architect complex, scalable, and secure GenAI/ML solutions on AWS, guiding model training, building, and deployment strategies, and sharing industry and technology insights as a trusted advisor. Key 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 Basic Qualifications
Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience) 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience 2+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences) 3+ years experience developing software code in one or more programming languages (java, python, etc.) Preferred Qualifications
Masters or PhD degree in computer science, or related technical, math, or scientific field Strong working knowledge of deep learning, machine learning and statistics AWS Experience preferred, with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2) Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred Knowledge of security and compliance standards (e.g., HIPAA, GDPR) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. For applicants in Los Angeles County, job duties include maintaining safety, effective communication, and adherence to policies. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
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