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AI Engineer
Job in
Troy, Lincoln County, Missouri, 63379, USA
Listed on 2026-09-05
Listing for:
Jobtailor
Full Time
position Listed on 2026-09-05
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, Machine Learning/ ML Engineer, Data Engineering
Job Description & How to Apply Below
- Design, build, and deploy scalable machine learning solutions using Gemini Enterprise and Google Cloud services
- Develop and maintain MLOps pipelines for model training, deployment, monitoring, and lifecycle management
- Provision and manage cloud infrastructure using Terraform, ensuring automation and compliance
- Deploy and operate ML workloads on Google Kubernetes Engine (GKE) with secure and optimized VPC networking
- Collaborate with data scientists, engineers, and business stakeholders to deliver production-ready AI solutions
- Experience designing, building, and deploying scalable machine learning solutions using Gemini Enterprise and Google Cloud services
- Experience developing and maintaining MLOps pipelines for model training, deployment, monitoring, and lifecycle management
- Experience provisioning and managing cloud infrastructure using Terraform
- Experience deploying and operating ML workloads on Google Kubernetes Engine (GKE)
- Knowledge of secure and optimized Virtual Private Cloud (VPC) networking
- Cloud architecture and deployment expertise
- Machine learning engineering expertise
- Google Cloud Platform (GCP) expertise
Demonstrates expertise in designing and deploying scalable machine learning solutions using Gemini Enterprise and Google Cloud services, alongside proficiency in MLOps pipelines and cloud infrastructure management with Terraform and Google Kubernetes Engine (GKE). Strong collaboration skills with data scientists and business stakeholders to deliver production-ready AI solutions.
Highest-signal resume keywords- Machine Learning Engineering Expertise
- Google Cloud Platform (GCP) Expertise
- MLOps Pipeline Development
- Terraform Infrastructure Management
- Google Kubernetes Engine (GKE) Deployment
- Machine Learning Solutions Design
- MLOps Pipeline Maintenance
- Cloud Infrastructure Provisioning
- Google Cloud Services
- Terraform
- Google Kubernetes Engine (GKE)
- Virtual Private Cloud (VPC) Networking
- Cloud Architecture
- Model Training
- Model Deployment
- Collaboration
- Communication
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