INSPYR Solutions
MLOps Engineer
ABOUT THIS FEATURED OPPORTUNITY
The MLOps Engineer will join the Channel Sales and Operations team and build and maintain infrastructure for deploying, monitoring, and scaling ML models, while enabling fast experimentation through CI/CD pipelines and efficient tooling. This role sits at the intersection of DevOps, ML engineering, and backend development, with a focus on automation, reliability, and performance.
THE OPPORTUNITY FOR YOU
Design, automate, and maintain
infrastructure-as-code
with Terraform across cloud environments (GCP preferred). Manage
containerized workloads
with Kubernetes, Helm charts, and service meshes (Istio for advanced networking). Build and maintain scalable
CI/CD pipelines
for ML model training, validation, deployment, and monitoring. Develop and optimize
FastAPI services
for inference APIs and internal tooling. Implement
deployment strategies
(blue/green, canary, A/B testing) for ML models in production. Collaborate with data scientists to take models from experimentation to reliable production deployment. Utilize
PromptQL
and other observability tools to track model performance, monitor dashboards, and ensure reliability. Ensure
infrastructure scaling, GPU/TPU utilization, and cost optimization
in ML workloads. Troubleshoot and optimize distributed systems for high availability and performance.
KEY SUCCESS FACTORS
3+ years of DevOps and cloud infrastructure experience
Strong experience with
Terraform
(commands like init, plan, apply, destroy) for IaC Hands-on with
Kubernetes
(kubectl get pods, kubectl scale deployment, kubectl describe, etc.) for scaling and monitoring workloads Experience creating and deploying
Helm charts
from Docker images
Proficiency in
Python
with ability to write clean, testable, and scalable code
Strong understanding of
FastAPI
and asynchronous programming (I/O bound vs CPU bound workloads)
Machine learning and model deployment experience
Understanding of the
ML lifecycle
: training → validation → deployment → monitoring Knowledge of monitoring, logging, and alerting for ML systems
NICE TO HAVES
Familiarity with
PromptQL
for reviewing and analyzing ML dashboards
Our benefits package includes:
Comprehensive medical benefits Competitive pay 401(k) retirement plan ...and much more!
About INSPYR Solutions Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.
ABOUT THIS FEATURED OPPORTUNITY
The MLOps Engineer will join the Channel Sales and Operations team and build and maintain infrastructure for deploying, monitoring, and scaling ML models, while enabling fast experimentation through CI/CD pipelines and efficient tooling. This role sits at the intersection of DevOps, ML engineering, and backend development, with a focus on automation, reliability, and performance.
THE OPPORTUNITY FOR YOU
Design, automate, and maintain
infrastructure-as-code
with Terraform across cloud environments (GCP preferred). Manage
containerized workloads
with Kubernetes, Helm charts, and service meshes (Istio for advanced networking). Build and maintain scalable
CI/CD pipelines
for ML model training, validation, deployment, and monitoring. Develop and optimize
FastAPI services
for inference APIs and internal tooling. Implement
deployment strategies
(blue/green, canary, A/B testing) for ML models in production. Collaborate with data scientists to take models from experimentation to reliable production deployment. Utilize
PromptQL
and other observability tools to track model performance, monitor dashboards, and ensure reliability. Ensure
infrastructure scaling, GPU/TPU utilization, and cost optimization
in ML workloads. Troubleshoot and optimize distributed systems for high availability and performance.
KEY SUCCESS FACTORS
3+ years of DevOps and cloud infrastructure experience
Strong experience with
Terraform
(commands like init, plan, apply, destroy) for IaC Hands-on with
Kubernetes
(kubectl get pods, kubectl scale deployment, kubectl describe, etc.) for scaling and monitoring workloads Experience creating and deploying
Helm charts
from Docker images
Proficiency in
Python
with ability to write clean, testable, and scalable code
Strong understanding of
FastAPI
and asynchronous programming (I/O bound vs CPU bound workloads)
Machine learning and model deployment experience
Understanding of the
ML lifecycle
: training → validation → deployment → monitoring Knowledge of monitoring, logging, and alerting for ML systems
NICE TO HAVES
Familiarity with
PromptQL
for reviewing and analyzing ML dashboards
Our benefits package includes:
Comprehensive medical benefits Competitive pay 401(k) retirement plan ...and much more!
About INSPYR Solutions Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.