Lead ML Platform Engineer

Creative Solutions Services, LLC; Charlotte (NC); On-site; USD 80,000 - 89,000; Full time

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

Company Overview:

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization,

We are currently seeking an Inference Lead to join our team in Charlotte, North Carolina (US-NC), United States (US).

Job Description:

Real-Time Services – Real-Time Inference Engineering Lead

Role Summary

The Real-Time Inference Engineering Lead will design and industrialize low-latency, resilient model-serving services for predictive AI use cases. The role will define deployment patterns, capacity controls, monitoring, performance standards, and operational practices across cloud and on-premises environments.

Key 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.
• Optimize latency, throughput, resource consumption, availability, and cost.
• Define monitoring, alerting, SLOs, runbooks, and incident-response practices.
• Build CI/CD pipelines for repeatable model and service releases.
• Design resilience, failover, rollback, disaster recovery, and graceful-degradation patterns.
• Lead technical reviews and mentor inference and platform engineers.

Required Skills

• 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.
• Preferred Qualifications
• 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.

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $80-$88.85. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications.

This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits.

About NTT DATA:

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

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