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Amazon Web Services, Inc. jobs

Senior Delivery Consultant- GenAI/ML, AWS, Industries

138,200 - 239,000 USD
Amazon Web Services, Inc.
15th Street North 2088, Arlington
138,200 - 239,000 USD
Company Size icon
Company Size
5k+
Company Type icon
Company Type
Services
Exp Level icon
Exp Level
Senior
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- 5+ years of experience with cloud-based solutions (AWS or equivalent), systems, networks, and operating systems. - A Bachelor's degree in computer science, engineering, mathematics, or a related field. - Experience in software development using an object-oriented language. - 4+ years of experience in hosting and deploying Generative AI/ML solutions (e.g., for training, fine-tuning, and inferences). - AWS Professional level certification (preferred). - A Master's or PhD degree in computer science or a related technical, mathematical, or scientific field (preferred). - Strong working knowledge of deep learning, machine learning, and statistics (preferred). - Experience with AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2 (preferred). - Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, computer vision (CV), graphical neural networks (GNN), or distributed training (preferred). - Strong communication skills with attention to detail and the ability to explain complex mathematical concepts to non-experts (preferred).

Technologies

AI
EC2
Machine Learning

Responsibilities

In this role, I will work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. My key responsibilities will include: - Designing, implementing, and building complex, scalable, and secure Generative AI and machine learning applications and models on AWS tailored to customer needs. - Providing technical guidance and implementation support throughout project delivery, focusing on 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 assets.

Description

We are part of the AWS Professional Services organization, a global team that helps customers achieve their desired business outcomes using the AWS Cloud. We work with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our inclusive culture values diverse experiences and encourages candidates from all backgrounds to apply. At AWS, we are committed to continuous learning and professional growth with ample mentorship opportunities. We believe in work-life balance and understand the importance of flexibility in achieving our goals at work and home. Amazon Web Services (AWS) is recognized as one of the world’s most comprehensive and widely adopted cloud platforms, trusted by businesses globally. We pride ourselves on our employee-led affinity groups and ongoing events that celebrate our differences and foster a culture of inclusion. Our compensation reflects the labor costs across various U.S. geographic markets, with a base pay range from $138,200/year to $239,000/year, depending on location and individual experience. In addition to competitive compensation, we offer a comprehensive benefits package including medical, financial, and other offerings to support our employees’ well-being and professional development.
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