AWS AI/ML Engineer || H1B Allowed

Ampstek; Denver (CO); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading cloud technology company in the United States is seeking an experienced candidate to design and implement an AIOps framework using AWS AI technologies. Responsibilities include integrating machine learning models, developing cloud architecture, and evaluating AWS AI services. The ideal candidate should possess a Bachelor’s or Master’s degree in Computer Science and have a minimum of 8 years of AWS-focused cloud architecture experience. This position is crucial for enhancing network operations through AI solutions.

Qualifications

• Minimum of 8 years of experience in cloud architecture, with a focus on AWS.
• Proven experience in implementing AI/ML solutions.
• Strong understanding of AI/ML concepts and tools, including agentic AI frameworks.

Responsibilities

• Design and implement an AIOps framework using AWS AI technologies to automate network operations.
• Develop scalable AWS cloud architecture that supports AIOps initiatives.
• Evaluate and incorporate AWS AI services into network operations.

Skills

AWS AI technologies

Cloud architecture

Machine learning

AI/ML implementations

Education

Bachelor's or Master’s degree in Computer Science or related field

Tools

AWS services (EC2, S3, Lambda, SageMaker, CloudFormation, Bedrock, Neptune)

Job description

Responsibilities

• Design and implement an AIOps framework using AWS AI technologies to automate and enhance network operations.
• Integrate machine learning models to predict network outages and optimize performance.
• Develop scalable and reliable AWS cloud architecture that supports AIOps initiatives.
• Incorporate Amazon Bedrock for foundational AI models and Amazon Neptune for graph database solutions.

Agentic AI Integration

• Implement AWS AI agentic layers and frameworks to facilitate autonomous decision-making processes within network operations.

Technology Evaluation and Implementation

• Evaluate and incorporate AWS AI services such as SageMaker, Bedrock, and Comprehend into network operations.
• Leverage AWS's ANO capabilities to automate network monitoring and management.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 8 years of experience in cloud architecture, with a focus on AWS.
• Proven experience in implementing AI/ML solutions
• Expertise in AWS services such as EC2, S3, Lambda, SageMaker, CloudFormation, Amazon Bedrock, Amazon Neptune, and Amazon GNN.
• Strong understanding of AI/ML concepts and tools, including agentic AI frameworks.