Skills - AI Ops Lead Engineer with SageMaker, Bedrock a must
Key Responsibilities:
AIOps Framework Development:
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.
AWS Architecture Design:
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:
Education:
Bachelor's or Master s degree in Computer Science, Information Technology, or a related field.
Experience:
Minimum of 8 years of experience in cloud architecture, with a focus on AWS.
Proven experience in implementing AI/ML solutions
Technical Skills:
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.
Python
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