MLOps Engineer jobs in Texas

Houston, Texas

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Today

job summary: Summary We are seeking a Senior DevOps Engineer with expert-level AWS and Terraform skills to join our Big Data Services team. This role focuses on automating cloud infrastructure and DevOps workflows in AWS to support enterprise-scale data location: Houston, Texas job type: Contract salary: $77 - 82 per hour work hours: 9am to 5pm education: No Degree Required responsibilities: Responsibilities Design, build, and automate AWS infrastructure using Terraform (IaC). Develop and

Contract

USD77 - USD82

MLOps Engineer

Hybrid in Dallas, Texas

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Today

Role: MLOps Engineer (AWS & Databricks) Location: Dallas, TX OR Miramar, FL Primary Responsibilities Design, implement, and maintain CI/CD pipelines for machine learning applications using AWS CodePipeline, CodeCommit, and CodeBuild. Automate the deployment of ML models into production using Amazon SageMaker, Databricks, and MLflow for model versioning, tracking, and lifecycle management. Develop, test, and deploy AWS Lambda functions for triggering model workflows, automating pre/post-processi

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Contract

Depends on Experience

MLOps Engineer

Hybrid in Dallas, Texas

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2d ago

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Contract

Depends on Experience

MLOps Lead Engineer

Dallas, Texas

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Today

MLOps Lead Engineer Need Local only : Dallas- Tx F2F Interview Custom Skill Requirements MLOps 14+ Years of Experience CI/CD pipelines AWS Python TensorFlow Terraform Contractor Qualifying Questions Are you local to Dallas? Are you able to go to Dallas office 3days/wk? Are you able to travel to a manufacturing plant? Do you have MLOps Engineering experience? Can you build MLOps pipeline? Have you worked on Edge deployment? We are seeking an MLOps Engineer to bridge the gap between data science

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Contract

Depends on Experience

Mlops Engineer

Remote or Arkansas

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Today

Req No: #13305 Title: MLOps Engineer Location: On-site (in Blue Ash, OH preferred) and remote candidates will be considered Duration: 12+ months contract Interviews: MS Teams Note: Pre-screen consists of 5 video questions and a games section Job Description: We are seeking a highly skilled MLOps Engineer to build, scale, and support our Google Vertex machine learning platform to enable a multi-model serving environment. This role is central to building reusable infrastructure components (i.e., i

Contract

$Market rate

MLOps Engineer

Texas

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Today

Role : MLOps Engineer Location : Dallas Texas Responsibilities Build & Automate ML Pipelines: Design, implement, and maintain CI/CD pipelines for machine learning models, ensuring automated data ingestion, model training, testing, versioning, and deployment. Operationalize Models: Collaborate closely with data scientists to containerize, optimize, and deploy their models to production, focusing on reproducibility, scalability, and performance. Infrastructure Management: build and manage the un

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Contract, Third Party

MLOps Engineer

Houston, Texas

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28d ago

We are seeking a skilled MLOps/DevOps Engineer to join our team as a contractor. In this role, you'll be instrumental in developing, maintaining, and scaling our cloud infrastructure on Amazon Web Services (AWS). Your expertise will be key in enabling our machine learning teams to deploy, manage, and monitor their models efficiently, all while building a robust and automated environment under minimal supervision. Top daily responsibilities: Building out terraform automations for AWS. Providing

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Contract

Depends on Experience

SRE/MLOps Engineer

Remote

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Today

Job ID: 2508971 Location: REMOTE WORK, VA, US Date Posted: 2025-09-30 Category: Engineering and Sciences Subcategory: Solutions Archt Schedule: Full-time Shift: Day Job Travel: No Minimum Clearance Required: None Clearance Level Must Be Able to Obtain: Public Trust Potential for Remote Work: Yes Description We are seeking a versatile SRE/MLOps Engineer with DevSecOps expertise to design, automate, and operate secure, scalable, and repeatable model deployment workflows across the AI/ML

Full-time

USD 120,001.00 - 160,000.00 per year

MLOps Engineer (AWS & Databricks) at Dallas, TX

Texas

•

Today

Primary Responsibilities Design, implement, and maintain CI/CD pipelines for machine learning applications using AWS Code Pipeline, Code Commit, and Code Build. Automate the deployment of ML models into production using Amazon SageMaker, Databricks, and MLflow for model versioning, tracking, and lifecycle management. Develop, test, and deploy AWS Lambda functions for triggering model workflows, automating pre/post-processing, and integrating with other AWS services. Maintain and monitor Databric

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Third Party

AI/ML Engineer with MLOps, ADF and Azure Databricks

Remote

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Today

AI/ML Engineer with MLops and Azure Data Bricks Remote Contract to hire (3 months+Hire) ESSENTIAL DUTIES: Utilize Azure technologies like Azure Cognitive Technologies, Azure Machine Learning, and Azure Bot Services to design, create, and deploy AI/ML based applications.Include AI components into data workflows, engage with data scientists and data engineers.Utilize Azure AI services to implement natural language processing (NLP) create and implement machine learning models and algorithms.Automa

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Full-time

Depends on Experience

MLOPS Engineer

Remote

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Today

Experience working on production-grade ML/AI projects. Experience can be on Azure Cloud or AWS Cloud, but Azure is preferred. Deploy models into production environments using MLOPS best practices

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Contract

Depends on Experience

MLOps Engineer

Dallas, Texas

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10d ago

Doyensys is a Management and Information Technology consulting services company based out of Dallas, TX. With 200+ employees globally, we support customers around the globe to solve their business and technology challenges. Great culture, excellent benefits , consistant growth are some of the attributes of Doyensys. We look for great talents to join our thriving team. Why settle for less? Job Title: MLOps Engineer Location: Remote,USA Yr of exp: 10 Duration: 12 Months Job Description We are se

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Third Party, Contract

Senior MLOps Engineer

Remote or Santa Clara, California

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Today

NVIDIA is seeking a Senior MLOps Engineer to help design and scale the infrastructure that powers our AI research and product development. In this role, you will partner closely with research scientists and product teams to accelerate their success on the latest GPU and accelerator platforms. By building robust ML pipelines and scalable systems, you will ensure that cutting-edge hardware innovations translate directly into faster experiments, more efficient training, and reproducible deployments

Full-time

USD 184,000.00 per year

Senior AI MLOps Engineer, Education Services

Remote or Santa Clara, California

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Today

NVIDIA's Education Services team is dedicated to equipping partners with the expertise to support and fix the infrastructure software domain of NVIDIA AI Enterprise (NVAIE). This role focuses on empowering partners to master components such as Kubernetes, system virtualization, drivers, and management tools essential for deploying and maintaining accelerated AI systems. By designing and delivering hands-on training and support programs, you will help partners build the technical confidence neede

Full-time

USD 192,000.00 per year

Staff MLOps Engineer

Austin, Texas

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Today

Apptronik is building robots for the real world to improve human quality of life and to help solve the ever-increasing labor shortage problem. Our team has been building some of the most advanced robots on the planet for years, dating back to the DARPA Robotics Challenge. We apply our expertise across the full robotics stack to some of the most important and impactful problems our society faces, and expect our products and technology to change the world for the better. We value passion, creativi

Full-time

MLOps Lead/AI/ML-Ops Engineer/ AI/ML Engineer

Dallas, Texas

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Today

Job Title: MLOps Lead/AI/ML-Ops Engineer/ AI/ML Engineer Location: Dallas, TX Duration: 6 Months Skills: Overall 10+ years of experience with 4+ years of experience in MLOps, Machine Learning Engineering, or a related DevOps role with a focus on ML workflow Extensive hands-on experience in designing and implementing MLOps solutions on AWS. Proficient with core services like SageMaker, S3, ECS, EKS, Lambda Strong coding proficiency in Python. Extensive experience with automation tools, including

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Full-time, Third Party, Contract

ML/OPS Engineer - IV

Dallas, Texas

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2d ago

Position Title: ML/OPS Engineer - IV JPC - 6768 Location: Miramar or Dallas Required Experience: 12 years Tax Terms: C2C, W2 Required/ Desired Skills: Hi Team,Need your support for the below roles. Role: ML/OPS Engineer - IV Location: Miramar or Dallas Duration: Long Term Must Have: Experience with databricks, creating ML ops pipeline, AWS core pipeline Must have at least 4 years of hands on experience Experience with models for data scientists to use (do not expect candidates to be data scienti

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Contract

Depends on Experience

AI/ML Deployment Engineer

Austin, Texas

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Yesterday

Role: AI/ML Deployment Engineer Location: Austin TX OR Seattle WA On-site Duration : 12 months we need a senior candidate here at least 15+ years, but should be hands on (No Architect or Manager) OVERVIEW: We are seeking a highly skilled and specialized AI/ML Model Deployment Specialist / Production MLOps Engineer. The core focus of this role is to take existing machine learning models and optimize their deployment and serving infrastructure for high-performance, production-ready inference, with

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Contract, Third Party

$70 - $75

ML Ops Engineer (IT)

Remote or Colorado

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Today

Posting Date 10/03/2025 2000 16th St, Denver, Colorado, 80202-5117, United States of America Position Overview The MLOps Engineer (Google Cloud Platform Specialization) is responsible for designing, implementing, and maintaining infrastructure and processes on Google Cloud Platform (Google Cloud Platform) to enable the seamless development, deployment, and monitoring of machine learning models at scale. This role bridges data science and data engineering, Infrastructure, ensuring that machine

Full-time

USD 68,400.00 - 100,400.00 per year

ML Focused DevOps Engineer

Westlake, Texas

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Today

Description: The AI and Analytics Platform team is seeking a passionate Machine Learning Operations Engineer to work on the AI/ML platform in support of our Business partners. As an MLOps Engineer, you will be responsible for developing and maintaining the infrastructure and tools required to support machine learning models deployment and monitoring. Our team provides modern cloud-based data solutions for the broader organization that enables the Sales, Marketing, Finance, and AI/ML Analytics

Contract

USD 70.00 - 80.00 per hour

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MLOps Engineer jobs in Texas, USA