Amazon Web Services (AWS)
Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industr
Amazon Web Services (AWS), Seattle, Washington, us, 98127
Job Description
Amazon Web Services (AWS) is seeking a skilled Delivery Consultant to join our team. In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. 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: 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/and 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 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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Amazon Web Services (AWS) is seeking a skilled Delivery Consultant to join our team. In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. 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: 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/and 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 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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