Amazon Web Services (AWS)
Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industr
Amazon Web Services (AWS), Santa Clara, California, us, 95053
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. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. 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 job 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 About The Team: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. 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.
#J-18808-Ljbffr
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. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. 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 job 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 About The Team: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. 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.
#J-18808-Ljbffr