ML Engineer: Generative AI & Cloud-Native Infra

Inspire11

United States

On-site

USD 104,000 - 190,000

Full time

5 days ago
Be an early applicant
Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k) with match
Paid time off

Job summary

Inspire11 is seeking a senior ML Engineer to design and implement scalable ML infrastructure and cloud-native AI solutions in a full-time role. You will build CI/CD pipelines, monitor models in production, and collaborate with clients to deliver robust AI capabilities. A strong focus on security, compliance, and scalable deployment is essential.

You will work with AWS/Azure/GCP, Docker, Kubernetes, and modern ML libraries to optimize performance and enable rapid iteration across projects.

Qualifications

  • Experience designing scalable ML infrastructure and CI/CD pipelines for model training and deployment.
  • Experience monitoring ML models in production.
  • Developing Generative AI solutions, including LLM-based apps, RAG infrastructure, and search paradigms.
  • Ensuring security and compliance across ML systems.

Responsibilities

  • Design scalable ML infrastructure and CI/CD pipelines for training and deployment.
  • Monitor models in production and optimize performance.
  • Develop Generative AI solutions, including LLM apps and RAG infrastructure.
  • Collaborate with stakeholders to translate client needs into robust AI solutions.

Skills

ML engineering principles
Cloud-native AI
CI/CD
TensorFlow
PyTorch
Docker
Kubernetes
Infrastructure as code
Model hosting

Tools

AWS
Azure
GCP
Docker
Kubernetes
Terraform
CI/CD tools
TensorFlow
PyTorch

Job description

Inspire11 is seeking a senior ML Engineer to design and implement scalable ML infrastructure and cloud-native AI solutions in a full-time role. You will build CI/CD pipelines, monitor models in production, and collaborate with clients to deliver robust AI capabilities. A strong focus on security, compliance, and scalable deployment is essential.

You will work with AWS/Azure/GCP, Docker, Kubernetes, and modern ML libraries to optimize performance and enable rapid iteration across projects.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Generative AI ML Engineer — Cloud-Native & Production
Generative AI ML Engineer — Cloud-Native & Production

Adidev Technologies Inc • Jersey City (NJ)

On-site
USD 120,000 - 180,000
Competitive salary range
Paid relocation
Remote assistance
ML Engineer
ML Engineer

Add Value Machine Inc • Austin (TX)

On-site
USD 120,000 - 180,000
AI Engineer: ML Models, MLOps & AWS
AI Engineer: ML Models, MLOps & AWS

Avid Technology Professionals, LLC • Maryland

On-site
USD 120,000 - 180,000
AI/ML Software Engineer
AI/ML Software Engineer

Dfuse Technologies, Inc. • Ai (OH)

On-site
USD 110,000 - 160,000
Senior ML Engineer – Cloud-Native ML & MLOps
Senior ML Engineer – Cloud-Native ML & MLOps

GCS Recruitment Specialists • Ohio

On-site
USD 120,000 - 160,000
Enterprise ML Engineer: AI Solutions & Scalable Pipelines
Enterprise ML Engineer: AI Solutions & Scalable Pipelines

Global Engineering Consulting • United States

Remote
USD 100,000 - 140,000
ML Engineer: Edge & Cloud Production Systems
ML Engineer: Edge & Cloud Production Systems

Spear AI, Inc. • United States

Remote
USD 140,000 - 190,000
Unlimited PTO
Dedicated Sick Time
Comprehensive Health & Benefits
+12
AI/ML Infrastructure DevOps Engineer
AI/ML Infrastructure DevOps Engineer

Aimlroles • New York (NY)

Hybrid
USD 120,000 - 170,000
Vacation & holidays
Wellness benefits
401(k) plan
+2
Lead ML Systems Engineer, GenAI Platform
Lead ML Systems Engineer, GenAI Platform

Atlassian • Northern (KY)

Hybrid
USD 166,000 - 221,000
Bonus
Equity
Benefits package
AI/ML Delivery Lead for Generative Cloud Solutions
AI/ML Delivery Lead for Generative Cloud Solutions

Amazon Web Services (AWS) • Arlington (VA)

On-site
USD 131,000 - 178,000
Health insurance
401(k) matching
Paid time off
+2