Real-Time Inference Platform Lead

Creative Solutions Services, LLC

Charlotte (NC)

On-site

USD 80,000 - 89,000

Full time

10 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Health Savings Account (HSA)
AD&D insurance
401(k) program

Job summary

NTT DATA seeks an experienced Real-Time Inference Engineering Lead in Charlotte, NC to design and industrialize low-latency model-serving services for predictive AI use cases. You will define deployment patterns, capacity controls, monitoring, and operational practices across cloud and on-prem environments.

The role requires leading the architectural direction, building scalable APIs, and ensuring resilient, scalable real-time inference platforms while mentoring a team of inference and platform

Qualifications

  • 8+ years of experience in online inference and real-time model-serving architecture.
  • REST/gRPC APIs and distributed microservices.
  • Kubernetes, containers, autoscaling, and traffic management.
  • Performance engineering, latency optimization, and load testing.
  • Monitoring, SLOs, capacity planning, and production operations.
  • CI/CD and progressive-deployment approaches.
  • Resilience and high-availability engineering.
  • Cloud and on-premises deployment experience.
  • Degree in computer science, engineering, or a related discipline.
  • Experience with enterprise model-serving platforms and inference runtimes.
  • Cloud, Kubernetes, SRE, or ML engineering certification.

Responsibilities

  • Architect low-latency online inference and real-time model-serving solutions.
  • Develop scalable APIs, microservices, and deployment patterns for predictive models.
  • Implement Kubernetes-based deployment, autoscaling, load balancing, and traffic-management strategies.
  • Conduct benchmarking, performance tuning, capacity planning, and load testing.
  • Define monitoring, alerting, SLOs, runbooks, and incident-response practices.
  • Build CI/CD pipelines for repeatable model and service releases.
  • Design resilience, failover, disaster recovery, and graceful-degradation patterns.
  • Lead technical reviews and mentor inference and platform engineers.

Skills

Real-Time Inference
REST/gRPC APIs
Kubernetes
Performance engineering
Monitoring/SLOs
CI/CD
Resilience & HA
Cloud & on-premises

Education

Degree in CS/Engineering

Tools

Enterprise model-serving platforms

Job description

NTT DATA seeks an experienced Real-Time Inference Engineering Lead in Charlotte, NC to design and industrialize low-latency model-serving services for predictive AI use cases. You will define deployment patterns, capacity controls, monitoring, and operational practices across cloud and on-prem environments.

The role requires leading the architectural direction, building scalable APIs, and ensuring resilient, scalable real-time inference platforms while mentoring a team of inference and platform

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