Amazon Web Services (AWS)
Principal Consultant- GenAI/ML & Data Science, Professional Services, AWS Indust
Amazon Web Services (AWS), Jersey City, New Jersey, United States, 07390
Principal 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. You\'ll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. 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 About the team / environment
About AWS: AWS values diverse experiences and encourages candidates to apply even if they do not meet all preferred qualifications. The AWS ecosystem includes global specialty practices and a broad set of offerings to support enterprise cloud adoption. AWS emphasizes inclusion, mentorship, career growth, and work/life balance. Basic qualifications
12+ years of cloud-based solution (AWS or equivalent), system, network and operating system experience 8+ years of hosting and deploying GenAI/ML solutions or Data Science experience 12+ years of coding, data querying languages (e.g., SQL), scripting languages (e.g., Python) Preferred qualifications
PhD or Master\'s degree in Computer Science or related technical field (or equivalent experience) Knowledge of AWS platform and tools, e.g., 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) 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 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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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. You\'ll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. 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 About the team / environment
About AWS: AWS values diverse experiences and encourages candidates to apply even if they do not meet all preferred qualifications. The AWS ecosystem includes global specialty practices and a broad set of offerings to support enterprise cloud adoption. AWS emphasizes inclusion, mentorship, career growth, and work/life balance. Basic qualifications
12+ years of cloud-based solution (AWS or equivalent), system, network and operating system experience 8+ years of hosting and deploying GenAI/ML solutions or Data Science experience 12+ years of coding, data querying languages (e.g., SQL), scripting languages (e.g., Python) Preferred qualifications
PhD or Master\'s degree in Computer Science or related technical field (or equivalent experience) Knowledge of AWS platform and tools, e.g., 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) 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 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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