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MLOps Platform Engineer

Alltech Consulting Services, Inc.

Charlotte, North Carolina • Today

Easy Apply

Contract

$60 - $65

Lead Software Platform Engineer, MLOps

TetraScience

Remote • Today

Full-time

USD 200,000.00 - 270,000.00 per year

Senior MLOps Platform Engineer {S}

Stratagem Group

Remote or Colorado Springs, Colorado • Today

Full-time

Senior MLOps Platform Engineer {S}

ARKA Group

Remote or Colorado Springs, Colorado • Today

Full-time

Senior MLOps Engineer (Remote)

Kohls Department Stores

Remote or Menomonee Falls, Wisconsin • Today

Full-time

MLOps Engineer / Unicorn Startup / Remote

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Full-time

$230000 - $250000

Senior MLOps Engineer II (AI Native)

Life360

Remote • Today

Full-time

USD 148,000.00 - 216,000.00 per year

Senior Platform Engineer

Quantiphi Inc.

Remote • Today

Full-time

Machine Learning Platform Engineer

PrizePicks

Remote or Atlanta, Georgia • Today

Full-time

USD 155,000.00 - 185,000.00 per year

Platform Engineer, AI Capability Center Hub

Huron

Remote or Chicago, Illinois • Today

Full-time

USD 140,000.00 - 170,000.00 per year

Senior Staff Machine Learning Platform Engineer

Faire

Remote • Today

Full-time

USD 295,000.00 - 405,500.00 per year

Staff Machine Learning Platform Engineer

Faire

Remote • Today

Full-time

USD 246,500.00 - 339,000.00 per year

Senior ML Ops Engineer

Mitchell Martin, Inc.

Remote • 19d ago

Easy Apply

Full-time, Third Party

$105000 - $150000

ML Ops Engineer

Sahi Softtech

Remote • 28d ago

Easy Apply

Full-time

Depends on Experience

Architect - Platform Engineering - USA

Quantiphi Inc.

Remote • Today

Full-time

Job Details

Skills

MLOps
RAG
OpenAI
GenAI
AWS
Azure
AI gateways
Azure AI Foundry
MongoDB
Redis
PostgreSQL
Vector Databases
caching strategies
state management
Docker
Kubernetes
OpenShift
AKS
EKS
service mesh
ingress controllers
autoscaling

Summary

There is a job opening for ML-Ops / Platform Engineer - Charlotte, NC-Onsite role

Contract role

Strong hands-on experience building and operating cloud-native applications and platforms on AWS and Azure, including VPC/VNet, IAM, Load Balancers, API Gateway, Lambda/Functions, EKS/AKS, ECS, App Services, Storage, Key Vault/Secrets Manager, and cloud networking.
Deep expertise in AWS and Azure architecture, including multi-account/subscription design, landing zones, cloud security, high availability, disaster recovery, scalability, and cost optimization.
Experience enabling and operationalizing Enterprise GenAI platforms, including model onboarding, AI gateways, inference platforms, vector databases, RAG, guardrails, and AI application enablement.
Strong knowledge of Azure AI Foundry, Azure OpenAI, AWS Bedrock, SageMaker, model serving, embeddings, prompt engineering, AI evaluations, and agentic frameworks.
Expert-level experience with Docker, Kubernetes/OpenShift, AKS, EKS, service mesh, ingress controllers, autoscaling, and multi-cluster platform operations.
Strong DevOps and Platform Engineering experience, including GitHub Actions, Azure DevOps, Jenkins, GitOps, ArgoCD, Terraform, Ansible, automated testing, and release management.
Proficiency in Python, Java, REST APIs, microservices, and distributed systems development.
Experience with MongoDB, Redis, PostgreSQL, Vector Databases, caching strategies, state management, and high-throughput data platforms.
Strong understanding of cloud security, IAM, secrets management, observability, monitoring, logging, SRE practices, and production support.
Experience troubleshooting and optimizing cloud-hosted, containerized workloads for performance, resiliency, scalability, and cost efficiency.
Ability to partner with application, platform, infrastructure, and security teams to accelerate GenAI and cloud modernization initiatives.

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: 10114281
Position Id: 9058729
Posted 15 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Jatin Kumar

Recruiter @ Alltech Consulting Services, Inc.

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ML-Ops / Platform Engineer- Only Local

Charlotte, North Carolina

•

Today

Job Title: ML-Ops / Platform Engineer Location: Charlotte, NC Job Type: Contract Experience: Senior-level Job Overview Our client is seeking a highly skilled ML-Ops / Platform Engineer to join their team in Charlotte, NC. This role sits at the intersection of cloud platform engineering, DevOps, and enterprise GenAI enablement. You will design, build, and operate cloud-native platforms on AWS and Azure while driving the operationalization of cutting-edge AI/ML capabilities at scale. Key

Easy Apply

Contract, Third Party

Depends on Experience

Product Owner - W2 (No C2C or 1099) - Onsite role and must be local to Charlotte, NC (Posted by SAM)

Charlotte, North Carolina

•

Yesterday

Required Skills: Strong experience as a Technical Product Owner, Platform Engineer, DevOps Engineer, or Cloud Engineer supporting enterprise software platforms.Strong knowledge of Kubernetes, containerized platforms, and cloud-native application architectures.Hands-on experience with AWS and/or Azure cloud environments.Strong understanding of software development lifecycle (SDLC) and Agile delivery methodologies.Experience managing product roadmaps, backlogs, sprint planning, backlog grooming, a

Easy Apply

Contract

Depends on Experience

Staff AI-Ops Engineer

Charlotte, North Carolina

•

Today

SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history, SMBC Group offers a diverse range of financial services, including banking, leasing, securities, credit cards, and consumer finance. The Group has more than 130 offices and 80,000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the holding company of SMBC Group, which is one of the three largest banking groups in Japan. SMFG's shares trade on the Tokyo,

Full-time

Staff Platform Engineer (AI/ML Infrastructure)

Remote

•

11d ago

Job Title: Staff Platform Engineer AI/ML Infrastructure Location: USA (Remote) Job Type: Full-Time Job Overview: We are seeking a Staff Platform Engineer, AI/ML Infrastructure to provide technical leadership for the cloud platforms, deployment systems, and operational foundations that power enterprise-scale generative AI applications. This role will define and evolve the infrastructure architecture for AI/ML platforms running across AWS, Kubernetes, serverless, and containerized environments. T

Easy Apply

Full-time, Third Party

Depends on Experience

Job Details

Skills

MLOps
RAG
OpenAI
GenAI
AWS
Azure
AI gateways
Azure AI Foundry
MongoDB
Redis
PostgreSQL
Vector Databases
caching strategies
state management
Docker
Kubernetes
OpenShift
AKS
EKS
service mesh
ingress controllers
autoscaling

Summary

There is a job opening for ML-Ops / Platform Engineer - Charlotte, NC-Onsite role

Contract role

Strong hands-on experience building and operating cloud-native applications and platforms on AWS and Azure, including VPC/VNet, IAM, Load Balancers, API Gateway, Lambda/Functions, EKS/AKS, ECS, App Services, Storage, Key Vault/Secrets Manager, and cloud networking.
Deep expertise in AWS and Azure architecture, including multi-account/subscription design, landing zones, cloud security, high availability, disaster recovery, scalability, and cost optimization.
Experience enabling and operationalizing Enterprise GenAI platforms, including model onboarding, AI gateways, inference platforms, vector databases, RAG, guardrails, and AI application enablement.
Strong knowledge of Azure AI Foundry, Azure OpenAI, AWS Bedrock, SageMaker, model serving, embeddings, prompt engineering, AI evaluations, and agentic frameworks.
Expert-level experience with Docker, Kubernetes/OpenShift, AKS, EKS, service mesh, ingress controllers, autoscaling, and multi-cluster platform operations.
Strong DevOps and Platform Engineering experience, including GitHub Actions, Azure DevOps, Jenkins, GitOps, ArgoCD, Terraform, Ansible, automated testing, and release management.
Proficiency in Python, Java, REST APIs, microservices, and distributed systems development.
Experience with MongoDB, Redis, PostgreSQL, Vector Databases, caching strategies, state management, and high-throughput data platforms.
Strong understanding of cloud security, IAM, secrets management, observability, monitoring, logging, SRE practices, and production support.
Experience troubleshooting and optimizing cloud-hosted, containerized workloads for performance, resiliency, scalability, and cost efficiency.
Ability to partner with application, platform, infrastructure, and security teams to accelerate GenAI and cloud modernization initiatives.

Dice Id: 10114281
Position Id: 9058729
Posted 15 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Jatin Kumar

Recruiter @ Alltech Consulting Services, Inc.

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

ML-Ops / Platform Engineer- Only Local

Charlotte, North Carolina

•

Today

Easy Apply

Contract, Third Party

Depends on Experience

Product Owner - W2 (No C2C or 1099) - Onsite role and must be local to Charlotte, NC (Posted by SAM)

Charlotte, North Carolina

•

Yesterday

Easy Apply

Contract

Depends on Experience

Staff AI-Ops Engineer

Charlotte, North Carolina

•

Today

Full-time

Staff Platform Engineer (AI/ML Infrastructure)

Remote

•

11d ago

Easy Apply

Full-time, Third Party

Depends on Experience