Senior ML Ops Engineer

Paradigm

Senior ML Ops Engineer designing and building scalable MLOps solutions at Paradigm, a software company transforming the construction industry with data-driven technologies.

Posted 7/28/2026full-timeIrving • Texas • 🇺🇸 United StatesSenior💰 $123,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and maintaining scalable MLOps solutions, with a strong focus on automated ML deployment pipelines, model lifecycle management, and cloud-based machine learning solutions. Proficient in collaborating with cross-functional teams to enhance deployment efficiency and operational excellence.

Highest-signal resume keywords

MLOps Solutions DesignAutomated ML Deployment PipelinesPython ProgrammingCloud-Based Machine Learning SolutionsModel Monitoring and Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning LifecycleCI/CD WorkflowsModel Training and ValidationExperiment TrackingModel VersioningContainerizationInfrastructure as Code (IaC)Monitoring and ObservabilityDrift DetectionData Quality Monitoring

Soft Skills

Problem SolvingMentorshipCollaboration

Tools & Technologies

DockerKubernetesMLflowKubeflowAzure Machine LearningDatabricksTerraform

Industry Keywords

MLOpsMachine Learning EngineeringPlatform EngineeringDevOpsArtificial Intelligence

Tech Stack

Tools & technologies

AzureCloudDockerKubernetesPythonTerraform

About the role

Key responsibilities & impact

Design, build, and maintain scalable MLOps solutions that support the end-to-end machine learning lifecycle, including model training, deployment, monitoring, and retraining.
Develop and optimize automated ML deployment pipelines, ensuring reliable, reproducible, and efficient model delivery to production environments.
Deploy and support machine learning models and AI solutions in production, maintaining best practices for scalability, reliability, security, and operational excellence.
Implement and maintain model registries, experiment tracking, versioning, and governance practices to support consistent model lifecycle management.
Build and support containerized ML workloads and deployment workflows using technologies such as Docker and Kubernetes.
Develop monitoring, observability, and alerting capabilities for machine learning systems, including model performance tracking, drift detection, and data quality monitoring.
Collaborate with Machine Learning Engineers, Data Scientists, Software Engineers, and Infrastructure teams to operationalize ML solutions and improve deployment efficiency.
Implement and maintain IaC patterns using Terraform.
Troubleshoot and resolve complex technical challenges related to model deployment, ML infrastructure, and production operations.
Provide guidance and mentorship to other engineers.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence or related field or equivalent experience.
4+ years of professional experience in software engineering, machine learning engineering, MLOps, platform engineering, DevOps, or a related technical discipline.
Strong understanding of the machine learning lifecycle, including model training, validation, deployment, monitoring, and retraining.
Experience building and maintaining automated machine learning pipelines and CI/CD workflows.
Experience with MLOps platforms and tools such as MLflow, Kubeflow, Azure Machine Learning, Databricks, or similar technologies.
Experience in Python programming, ML Framework and Agentic AI. Implemented model monitoring, experiment tracking, model versioning, and governance practices.
Experience working with cloud-based machine learning solutions, preferably within Azure.
Ability to independently solve complex technical challenges, make sound decisions with minimal guidance, and drive work to completion.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Paradigm Website LinkedIn All Job Openings 501 - 1000 employees Founded 1999 ☁️ SaaS 🏗️ Construction 🏭 Manufacturing SaaS
Construction
Manufacturing Paradigm is a software company that builds industry-specific SaaS solutions for the building products supply chain. Its product suite includes CPQ (Paradigm Omni) for complex quoting, industry ERP (Paradigm Nexus), an in-home selling app (Paradigm Vendo), production planning, delivery tracking, business intelligence (Paradigm Insights), visualization (Paradigm View), automated testing (Paradigm Safeguard), and payment/finance services. Paradigm’s customers are window and door manufacturers, dealers, lumberyards, distributors, homebuilders, home improvement contractors, and retailers; its software is designed to speed quoting and estimating, streamline production and fulfillment, enable omni-channel selling, and reduce costs across manufacturers, distributors and retailers in the building industry. Senior ML Ops Engineer Job not on LinkedIn 🔥 26 minutes ago 🏢🏡 Irving – Hybrid 💵 $123k - $170k / year ⏰ Full Time 🟠 Senior 🤖 Machine Learning Engineer Azure Cloud Docker Kubernetes Python Terraform Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design, build, and maintain scalable MLOps solutions that support the end-to-end machine learning lifecycle, including model training, deployment, monitoring, and retraining.
Develop and optimize automated ML deployment pipelines, ensuring reliable, reproducible, and efficient model delivery to production environments.
Deploy and support machine learning models and AI solutions in production, maintaining best practices for scalability, reliability, security, and operational excellence.
Implement and maintain model registries, experiment tracking, versioning, and governance practices to support consistent model lifecycle management.
Build and support containerized ML workloads and deployment workflows using technologies such as Docker and Kubernetes.
Develop monitoring, observability, and alerting capabilities for machine learning systems, including model performance tracking, drift detection, and data quality monitoring.
Collaborate with Machine Learning Engineers, Data Scientists, Software Engineers, and Infrastructure teams to operationalize ML solutions and improve deployment efficiency.
Implement and maintain IaC patterns using Terraform.
Troubleshoot and resolve complex technical challenges related to model deployment, ML infrastructure, and production operations.
Provide guidance and mentorship to other engineers. 🎯 Requirements
Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence or related field or equivalent experience.
4+ years of professional experience in software engineering, machine learning engineering, MLOps, platform engineering, DevOps, or a related technical discipline.
Strong understanding of the machine learning lifecycle, including model training, validation, deployment, monitoring, and retraining.
Experience building and maintaining automated machine learning pipelines and CI/CD workflows.
Experience with MLOps platforms and tools such as MLflow, Kubeflow, Azure Machine Learning, Databricks, or similar technologies.
Experience in Python programming, ML Framework and Agentic AI. Implemented model monitoring, experiment tracking, model versioning, and governance practices.
Experience working with cloud-based machine learning solutions, preferably within Azure.
Ability to independently solve complex technical challenges, make sound decisions with minimal guidance, and drive work to completion. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Senior Data Engineer, AI/ML 🕒 June 22 Wellfit 11 - 50 🏥 Healthcare 🍽️ Food & Beverage 🏨 Hospitality Website LinkedIn All Job Openings Senior Data & AI/ML Engineer at Wellfit developing AI/ML solutions to extract value from data. Collaborating with tech and business leaders to drive insights for fintech improvements. 🏢🏡 Irving – Hybrid 💵 $145k - $165k / year ⏰ Full Time 🟠 Senior 🤖 Machine Learning Engineer 🦅 H1B Visa Sponsor AWS Azure Cloud View More Machine Learning Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs