AI Ops Lead Engineer

Denver, CO, US • Posted 4 hours ago • Updated 4 hours ago
Contract W2
Contract Independent
On-site
$50 - $60/hr
Fitment

Dice Job Match Score™

⏳ Almost there, hang tight...

Job Details

Skills

  • Amazon EC2
  • Amazon Neptune
  • Amazon S3
  • Amazon SageMaker
  • Amazon Web Services
  • Artificial Intelligence
  • Cloud Architecture
  • Computer Science
  • Decision-making
  • FOCUS
  • Graph Databases
  • Information Technology
  • Machine Learning (ML)
  • Management
  • Network
  • Network Monitoring
  • Network Operations
  • Python
  • Technology Assessment

Summary

Client: Infosys/-

Location: Denver, CO - Hybrid

but very strong H1b Visa can be considered -

Location - Denver, CO - Candidate does not have to be local for interview but needs to relocate to Denver, CO after confirmation for Hybrid 4 days onsite.

Duration - 6+ months

Skills - AI Ops Lead Engineer with SageMaker, Bedrock a must

Key Responsibilities:

  1. 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.
  2. 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.
  3. Agentic AI Integration:
    • Implement AWS AI agentic layers and frameworks to facilitate autonomous decision-making processes within network operations.
  4. 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90769335A
  • Position Id: 8938239
  • Posted 4 hours ago
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