Apply on Employer Site

Info Way Solutions · 1 month ago

Networking Engineers

United States

Full-time

Remote

Senior Level

$54/hr - $60/hr

5+ years exp

Info Way Solutions is seeking Networking Engineers to address complex network problems using AI and ML technologies. The role involves collaborating with data scientists, reviewing network issues, and creating training sets for model development.

Information ServicesInformation TechnologyInternet of ThingsStaffing Agency

No H1B

U.S. Citizen Only

Responsibilities

Collaborate with data science and artificial intelligence researchers to hand-write diagnostic steps, solutions, and expert recommendations for diagnosing and resolving complex network problems

Leverage deep knowledge of enterprise network troubleshooting, familiarity with industry-leading tools (e.g., Cisco Meraki, ThousandEyes, Splunk), and expertise in using command line interface (CLI) diagnostics to ensure that model outputs are accurate, actionable, and relevant

Contribute authoritative training and evaluation sets, document recommended actions and provide impact statements to further inform model development

Review and evaluation of problem statements: Evaluators will review network problem descriptions and associated diagnostic data, validating the relevance and sufficiency of information for identifying root causes and remediations

Validation of model outputs: Assess the accuracy and practicality of AI-generated diagnostic steps, recommendations, and remediation actions. Provide clear, concise summaries when disagreeing with model outputs, including nuanced reasoning and expert insights

Creation of training and evaluation sets: Develop realistic network problem scenarios, recommended actions, and impact statements. Contribute expert-crafted examples for use in model training and evaluation

Documentation and reporting: Create comprehensive records of assessments, recommendations, and findings. Maintain quality control over annotated datasets and ensure consistency with project standards

Quality assurance and iterative feedback: Review and refine labeled datasets and model outputs for accuracy and consistency. Provide feedback to improve annotation guidelines, validation processes, and supporting tools

Work closely with data scientists, engineers, and project managers to align SME contributions with overall project objectives and deliverables

Evaluate AI-generated troubleshooting steps for a simulated network outage in a campus network, using diagnostic data from Meraki and Thousand Eyes

Author a set of annotated training examples depicting common security misconfigurations in enterprise switch environments, including proposed remediations and potential impacts

Review model-generated recommendations for addressing high latency observed in network devices, and provide feedback on their technical accuracy and completeness

Qualification

Enterprise networking expertiseTroubleshooting experienceCLI diagnostics proficiencyNetwork monitoring toolsAutomationScriptingSoftware defect analysisTraining data creationDocumentation skills

Required

Expert-level knowledge of enterprise networking: Deep understanding of Cisco routing and switching products, with a focus on large-scale campus and enterprise networks

Extensive troubleshooting experience: Demonstrated experience diagnosing and resolving complex network issues, including root cause analysis and multi-vendor environments

Proficiency with CLI diagnostics: Expert knowledge of Cisco CLI, including the use of 'show' commands and other diagnostics for problem investigation

Experience with network monitoring and analytics platforms: Hands-on experience with tools such as Cisco Meraki, ThousandEyes, and Splunk for monitoring, troubleshooting, and performance analysis

Experience documenting technical solutions: Strong ability to create detailed methods of action, recommendations, and impact statements for network problems and proposed solutions

Familiarity with automation and scripting: Working knowledge of Python and automation frameworks (e.g., Ansible, Terraform) for interacting with APIs and automating network tasks

Experience with software defect analysis: Familiarity with identifying software-related network issues and evaluating the impact of software bugs and vulnerabilities

Experience with training/evaluation data creation: Ability to design, curate, and annotate realistic problem scenarios and training examples for use in ML and GenAI model development