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Mlops Engineer Jobs in Spring, TX (NOW HIRING)

Gainwell Technologies LLC

Expert AI Engineer

Houston, TX · On-site

$147K - $210K/yr

Summary Gainwell Technologies is seeking a highly skilled AI Engineer to design, develop, and ... Familiar with cloud platforms (AWS, Azure, Google Cloud Platform), MLOps practices, and big data ...

Halliburton

AI/ML Engineer (Eng - Senior) Cementing

Houston, TX · On-site +1

$99K - $137K/yr

Familiarity with cloud computing platforms, MLOps, model deployment, or containerized applications ... Engineering/Science/Technology Product Service Line: Cementing Full Time / Part Time: Full Time ...

Halliburton

AI/ML Engineer (Eng - Senior) Cementing

Houston, TX · On-site +1

$90K - $123K/yr

Familiarity with cloud computing platforms, MLOps, model deployment, or containerized applications ... Engineering/Science/Technology Product Service Line: Cementing Full Time / Part Time: Full Time ...

Halliburton

AI/ML Engineer (Eng - Senior) Cementing

Houston, TX · On-site +1

$99K - $137K/yr

Familiarity with cloud computing platforms, MLOps, model deployment, or containerized applications ... Engineering/Science/Technology Product Service Line: Cementing Full Time / Part Time: Full Time ...

Oxy

Advisor IT Systems - AI/ML Ops

Houston, TX

We are seeking a midcareer MLOps / AI Ops Engineer to support the deployment, monitoring, and lifecycle management of machine learning and advanced analytics solutions across upstream Oil & Gas ...

Oxy

Advisor IT Systems - AI/ML Ops

Houston, TX · On-site

We are seeking a mid-career MLOps / AI Ops Engineer to support the deployment, monitoring, and lifecycle management of machine learning and advanced analytics solutions across upstream Oil & Gas ...

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All JobsMlops Engineer JobsMlops Engineer Jobs in Spring, TX

Mlops Engineer information

Are MLOps engineers in demand?

MLOps engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are needed to develop, deploy, and maintain scalable ML systems, often requiring skills in cloud platforms, automation, and tools like Docker and Kubernetes. The role offers strong job growth prospects and competitive salaries.

What is an MLOps engineer?

An MLOps Engineer is responsible for deploying, monitoring, and maintaining machine learning models in production. They bridge the gap between data science and operations by automating workflows, optimizing infrastructure, and ensuring model reliability. Their role includes CI/CD for ML models, data pipeline management, and performance monitoring. They also work with cloud platforms, containerization, and orchestration tools to scale ML systems efficiently.

What are some common challenges MLOps engineers face in their daily work?

Mlops Engineers often encounter challenges in integrating new machine learning models into existing production systems while ensuring minimal downtime and maintaining data integrity. Managing the scaling and orchestration of models across various cloud or on-prem environments can be complex, requiring close coordination with data scientists and DevOps teams. Staying up to date with rapidly evolving tools and best practices is also essential in this field. Addressing these challenges provides valuable opportunities to innovate and improve both technical processes and team collaboration.

What are the key skills and qualifications needed to thrive as an MLOps engineer, and why are they important?

To thrive as an Mlops Engineer, you need strong skills in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science, engineering, or a related field. Familiarity with tools such as Docker, Kubernetes, TensorFlow, AWS/GCP/Azure, and CI/CD systems is essential, and certifications like AWS Certified Machine Learning or Kubernetes Administrator are often valued. Effective communication, problem-solving, and teamwork are crucial soft skills for collaborating across data science and IT teams. These abilities enable Mlops Engineers to efficiently deploy, manage, and scale machine learning models in dynamic production environments.

What does an MLOps engineer do?

An MLOps engineer is responsible for deploying, managing, and maintaining machine learning models in production environments. They work with tools like Docker, Kubernetes, and cloud platforms to automate workflows, ensure model reliability, and monitor performance. Their role combines software engineering, data science, and DevOps practices to streamline the deployment and lifecycle management of machine learning systems.
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What cities near Spring, TX are hiring for Mlops Engineer jobs? Cities near Spring, TX with the most Mlops Engineer job openings:
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Infographic showing various Mlops Engineer job openings in Spring, TX as of August 2026, with employment types broken down into 39% Full Time, and 61% Contract. Highlights an 100% In-person job distribution.

Expert AI Engineer

Gainwell Technologies LLC

Houston, TX • On-site

$147K - $210K/yr

Other

Medical, Life, Retirement, PTO

Re-posted 12 days ago

Gainwell Technologies rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

137th of 242 rated software companies

Job description

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You'll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You'll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities.
Summary
Gainwell Technologies is seeking a highly skilled AI Engineer to design, develop, and deploy advanced AI solutions, including Generative AI (GenAI), across our healthcare technology platforms. This role involves building and optimizing AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards.
Your role in our mission
  • AI Model Development - Design, build, and train machine learning and deep learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications.
  • End-to-End AI Solution Deployment - Develop, test, and deploy AI solutions in cloud and on-premise environments, ensuring reliability, scalability, and real-world impact.
  • Data Engineering & Processing - Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards.
  • System Integration - Implement and optimize AI models within Gainwell's existing technology stack, collaborating with software engineers to ensure seamless integration.
  • Performance Optimization - Continuously monitor, refine, and optimize AI models for accuracy, efficiency, and speed, leveraging MLOps best practices.
  • AI Research & Innovation - Stay updated with the latest AI/ML advancements, exploring new technologies and methodologies to enhance solution effectiveness.
  • Compliance & Security - Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards.
  • Automation & Workflow Enhancement - Identify opportunities to automate workflows and optimize business processes using AI-driven solutions.
  • Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency.
  • Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks.
  • Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions.

What we're looking for
  • Advanced Education: Master's or Ph.D. in Computer Science, AI, Data Science, or a related field.
  • Extensive AI/ML Experience: 5+ years in AI/ML engineering, including hands-on work with GenAI, NLP, deep learning, and computer vision.
  • Technical Proficiency: Strong coding skills in Python and frameworks like TensorFlow and PyTorch; experienced with LLMs (e.g., GPT, Gemini, Claude) including prompt engineering and optimization.
  • Scalable Deployment Skills: Familiar with cloud platforms (AWS, Azure, Google Cloud Platform), MLOps practices, and big data tools (Spark, Hadoop, SQL/NoSQL).
  • Domain Knowledge: Strong problem-solving abilities with a plus for experience in healthcare AI and understanding of regulatory standards like HIPAA and CMS.

What you should expect in this role
  • Fully Remote Opportunity - Work from anywhere in the U.S.
  • Minimal Travel Required - Occasional travel opportunities (0-10%).
  • Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.
  • Video cameras must be used during all interviews, as well as during the initial week of orientation
  • The deadline to submit applications for this posting is July 21, 2026.

#LI-GD1
#LI-REMOTE
The pay range for this position is $147,200.00 - $210,300.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You'll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits , and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities.
We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You'll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings.
Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines "wages" and "wage rates" to include "all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.

What Gainwell Technologies employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Gainwell Technologies

Sourced by ZipRecruiter

With Health and Cost outcomes that pierce Inequities and Impact Economies, the success of our Nation’s Federal Medicaid program is inextricably tied to the Prosperity of Communities, States and the Nation as a whole. We think that deserves Respect and a Commitment from Innovators who can help those who operate within and around health and human services evolve to meet their goals. At Gainwell, that’s our Sole focus. Built across more than Five Decades, Gainwell has intentionally seized opportunities to advance its digitally enabled services to meet Agencies, Health plans and MCOs where they are on their modernization journeys and propel them into the future of Healthcare. Equally important to our Expanding Technologies and Results. We bring ideas that bring policies to life.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Irving, TX, US

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