Graph Machine Learning Engineer (Network)

Remote • Posted 5 hours ago • Updated 5 hours ago
Contract Independent
Contract W2
6 Months
No Travel Required
Remote
$80 - $90/hr
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Fitment

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Job Details

Skills

  • AI / Machine Learning Engineer to embed within a network engineering
  • Graph Machine Learning
  • Graph ML
  • Python
  • ML framework
  • routing
  • switching

Summary

Job Title: Graph Machine Learning Engineer (Network)
Location: Remote 
Duration - 6+ months
 
We are seeking a Senior AI / Machine Learning Engineer to embed within a network engineering organization and apply advanced AI techniques to large-scale enterprise network systems.
This role will focus on leveraging Graph Machine Learning (Graph ML) and data-driven approaches to model network environments, generate actionable insights, and improve overall network performance, reliability, and efficiency.
Key Responsibilities:
  • Model complex enterprise network environments (devices, connections, traffic flows) as graph-based systems
  • Develop and deploy machine learning models to support:
    • Network anomaly detection (operational and performance-related)
    • Traffic analysis and forecasting
    • Root cause analysis across distributed systems
  • Apply AI/ML techniques to optimize network performance, including:
    • Traffic routing and load balancing
    • Capacity planning and demand prediction
  • Build pipelines to ingest, process, and analyze network telemetry data (e.g., logs, flows, metrics)
  • Partner closely with network engineering teams to translate business and operational challenges into AI-driven solutions
  • Deliver insights and recommendations that improve observability, resiliency, and operational efficiency
Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field
  • 5+ years of experience in AI/ML, Data Science, or a related technical role
  • Strong proficiency in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow)
  • Experience working with graph-based data structures or Graph Machine Learning concepts
  • Understanding of enterprise network fundamentals (topology, routing, switching, protocols such as TCP/IP)
  • Experience building and deploying machine learning models in production environments
Preferred Qualifications
  • Experience with Graph ML libraries (e.g., PyTorch Geometric, DGL)
  • Familiarity with network telemetry data sources (NetFlow, SNMP, logs, etc.)
  • Experience with time-series analysis and anomaly detection techniques
  • Exposure to large-scale distributed systems or telecom/network environments
  • Knowledge of optimization algorithms or performance engineering techniques
Core Competencies
  • Strong analytical and problem-solving skills
  • Ability to work cross-functionally with engineering and operations teams
  • Experience translating complex technical concepts into actionable insights
  • Self-driven with the ability to operate in ambiguous, evolving environments
Role Scope
This position focuses on applying AI to network operations and optimization, enabling a shift from reactive management to proactive, intelligent network systems.
 
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: 91142526
  • Position Id: 8975727
  • Posted 5 hours ago

Company Info

About Vailexa Technology LLC

Preferred by our clients for more than a year, Vailexa is one of the leading staffing solutions, workforce solutions, consulting, and enterprise results in immediate productivity, improve mentioned work culture, and an unwavering commitment to customer satisfaction.

We provide services in multiple domains such as IT Staffing, Healthcare Staffing, Consulting & Modern Enterprise Solution, and Workforce Solutions for organizations of all nature, ownership, and business verticals. We have experience in designing, developing, and delivering customized personnel solutions to meet your unique needs.

Established in 2020, Vailexa has made a mark in a short period, all due to our quality and a vast range of services. We have now become the preferred recruitment, workforce solutions, and staffing partners of many enterprises in many business verticals.

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