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Mlops Data Engineer Jobs in Spring, TX (NOW HIRING)

NRG

Sr Data Scientist

Houston, TX · On-site +1

Data Engineering & MLOps Infrastructure: Partner with data teams using Databricks, Spark, SQL, and Python to build ETL pipelines, vector databases, and model serving infrastructure. Maintain CI/CD ...

NRG

Sr Data Scientist

Houston, TX · On-site

Data Engineering & MLOps Infrastructure: Partner with data teams using Databricks, Spark, SQL, and Python to build ETL pipelines, vector databases, and model serving infrastructure. Maintain CI/CD ...

NRG Energy

Sr Data Scientist

Houston, TX · On-site

Data Engineering & MLOps Infrastructure: Partner with data teams using Databricks, Spark, SQL, and Python to build ETL pipelines, vector databases, and model serving infrastructure. Maintain CI/CD ...

NRG Energy

Sr Data Scientist

Houston, TX · On-site +1

Data Engineering & MLOps Infrastructure: Partner with data teams using Databricks, Spark, SQL, and Python to build ETL pipelines, vector databases, and model serving infrastructure. Maintain CI/CD ...

Lorven Technologies

Sr AI Engineer

Houston, TX · On-site

$96K - $132K/yr

Implement feature engineering and data transformation workflows * Deployment & MLOps * Deploy models into production using APIs, containers, or microservices * Work with DevOps to build CI/CD ...

Goldenpick Technologies

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Implement feature engineering and data transformation workflows * Deployment & MLOps * Deploy models into production using APIs, containers, or microservices * Work with DevOps to build CI/CD ...

Accenture

Google Data Specialist

Houston, TX · On-site

$70K - $196K/yr

Build data pipelines, ETL/ELT processes, and integrations using GCP services such as: BigQuery ... establish MLOps processes (monitoring, retraining, deployment). * Support prompt engineering ...

Recru

Data Scientist

Houston, TX · On-site

Production ML & MLOps * Build scalable production pipelines to operationalize ML models into ... Feature engineering, Automated retraining, Model monitoring, Drift detection, Experiment tracking ...

NOV, Inc.

Senior Data Scientist

Houston, TX · On-site

Utilize programming languages such as SQL, Python for data manipulation, analysis and model ... Familiarity with MLOps practices, CI/CD pipelines, and model lifecycle management * Demonstrated ...

NOV, Inc.

Senior Data Scientist

Houston, TX · On-site

Utilize programming languages such as SQL, Python for data manipulation, analysis and model ... Familiarity with MLOps practices, CI/CD pipelines, and model lifecycle management * Demonstrated ...

Expand Energy

Sr. ML Ops Engineer

Spring, TX · On-site

$96K - $132K/yr

... Engineers to identify and define requirements * Design, develop, and support machine learning ... operations (MLOps) platforms and tools in support of data science activities * Implement and ...

Hexagon AB

Lead Data Scientist

Houston, TX · On-site

Lead Data Scientist Job Location (Short): Houston, Texas-USA | Madison, Alabama-USA | Roanoke ... prompt engineering, RAG architectures, and vector databases (Pinecone, Weaviate, Chroma) MLOps ...

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All JobsMlops Data Engineer JobsMlops Data Engineer Jobs in Spring, TX

Mlops Data Engineer information

See Spring, TX salary details

$39.6K

$115.4K

$158K

How much do mlops data engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for mlops data engineer in Spring, TX is $115,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $122,400.00 per year, depending on experience, location, and employer.

What is the difference between Mlops Data Engineer vs Data Scientist?

AspectMlops Data EngineerData Scientist
Required SkillsMachine learning deployment, cloud platforms, scripting, data pipelinesStatistical analysis, programming, data visualization, machine learning modeling
CertificationsCloud certifications, ML engineering coursesData science certifications, statistical courses
Work EnvironmentData pipelines, cloud infrastructure, ML deployment systemsData analysis, modeling, research environments
Industry UsageTech companies, AI-focused firms, cloud service providersResearch institutions, analytics firms, tech companies

The main difference between an Mlops Data Engineer and a Data Scientist lies in their focus areas. Mlops Data Engineers specialize in deploying, maintaining, and scaling machine learning models within production environments, emphasizing infrastructure and automation. Data Scientists primarily focus on analyzing data, building models, and deriving insights. Both roles require strong technical skills, but their day-to-day tasks and career paths differ significantly.

Are MLOps engineers in demand?

MLOps Data 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 as organizations prioritize operationalizing AI solutions.

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

To thrive as an MLOps Data Engineer, you need a strong background in data engineering, machine learning workflows, and software development, usually supported by a degree in computer science or a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), CI/CD pipelines, containerization tools (like Docker and Kubernetes), and familiarity with orchestration frameworks are typically required, along with certifications in cloud or data engineering. Strong problem-solving abilities, collaboration, and clear communication set professionals apart in this role. These skills and qualities are critical to efficiently deploying scalable machine learning solutions and ensuring smooth collaboration between data science and engineering teams.

What are some common challenges MLOps Data Engineers face when deploying machine learning models into production?

MLOps Data Engineers often encounter challenges such as ensuring seamless integration between data pipelines and model serving infrastructure, managing consistent data quality, and automating model retraining and monitoring. Another common hurdle is maintaining scalability and reliability as data volumes grow, and efficiently collaborating with data scientists, software engineers, and DevOps teams. Addressing these challenges requires strong communication skills, familiarity with cloud platforms, and a proactive approach to troubleshooting and automation.

What are MLOps Data Engineers?

MLOps Data Engineers are professionals who blend expertise in machine learning (ML), operations (Ops), and data engineering to streamline the deployment and management of ML models in production environments. They design and maintain data pipelines, automate workflows, and ensure the scalability, reliability, and reproducibility of machine learning systems. Their role bridges the gap between data scientists and IT operations, enabling seamless integration of ML models into real-world applications.

What is the salary of data engineer in MLOps?

The salary of an MLOps Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and company size. Professionals with skills in cloud platforms, automation, and machine learning tools tend to earn higher salaries.

What engineer makes 500,000 a year?

Highly experienced senior MLOps Data Engineers with specialized skills in cloud platforms, automation, and large-scale data processing can earn salaries approaching or exceeding $500,000 annually, especially in competitive tech hubs or large organizations. Such roles often require advanced certifications, extensive experience, and expertise in tools like Kubernetes, Docker, and cloud services like AWS or Azure.

Is MLOps required for data engineers?

MLOps is increasingly important for data engineers involved in deploying and maintaining machine learning models, as it encompasses practices like automation, monitoring, and version control. While not always mandatory, knowledge of MLOps tools such as Docker, Kubernetes, and CI/CD pipelines enhances a data engineer’s ability to support scalable and reliable ML systems.
What are popular job titles related to Mlops Data Engineer jobs in Spring, TX? For Mlops Data Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Mlops Data Engineer jobs in Spring, TX look for? The top searched job categories for Mlops Data Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Mlops Data Engineer jobs? Cities near Spring, TX with the most Mlops Data Engineer job openings:
Mlops Data Engineer jobs near you
Sr Data Scientist

Sr Data Scientist

NRG

Houston, TX • On-site, Remote

Full-time

Posted 3 days ago

Job description

Welcome to the intersection of energy and home services. At NRG, we’re all about propelling the next generation of leaders forward. We are driven by our passion to create a smarter, cleaner and more connected future. We deliver innovative solutions that make our customers’ lives easier—helping them power, protect, and intelligently manage their homes and businesses. To do this, we need creative and talented people to join our company.

We offer a dynamic work environment and a unified and inclusive culture. NRG fosters a strong sense of belonging that leads to better collaboration and business performance. Our company programs are designed to help employees develop the skills they need for success now and in the future. In everything we do, we aim to champion our employees and bring value to our customers, investors and society.

More information is available at www.nrg.com. Connect with NRG on Facebook, Instagram, LinkedIn and X.

Senior Data Scientist – AI & Customer Operations Analytics

Location: Houston, TX 4 days onsite. Fridays are remote. 

Department: Customer Success, Continuous Improvement & AI Transformation

Reports To: Principal, Operations Performance

Position Summary

We are seeking an innovative Senior Data Scientist to lead the design, deployment, and optimization of machine learning and Generative AI solutions for our customer care ecosystem. This role bridges Customer Care Operations, Product, IT, and Data Engineering to translate complex business needs into scalable AI products that improve customer experience and operational efficiency.

Key Responsibilities

  • AI & Machine Learning Development: Design, train, and deploy predictive models (classification, forecasting, anomaly detection). Build and optimize Generative AI applications, Retrieval-Augmented Generation (RAG) systems, and multi-agent workflows.

  • Customer Care AI Solutions: Develop and evaluate AI tools supporting Agent Assist, Virtual Agents, intelligent routing, speech/sentiment analytics, and workflow automation.

  • Advanced Analytics & Experimentation: Analyze large-scale structured and unstructured datasets. Create forecasting models for contact volumes and customer churn, and establish A/B testing frameworks.

  • Data Engineering & MLOps Infrastructure: Partner with data teams using Databricks, Spark, SQL, and Python to build ETL pipelines, vector databases, and model serving infrastructure. Maintain CI/CD workflows and monitor for data/model drift in production.

  • Governance & Leadership: Ensure all AI solutions comply with data privacy and Responsible AI metrics. Mentor technical practitioners and present key findings to executive stakeholders.

Qualifications & Core Skills

  • Experience: 10+ years in Data Science or a related analytical role, with a proven track record of deploying production-grade AI.

  • Technical Stack: Advanced proficiency in Python, SQL, cloud data platforms, and MLOps frameworks.

  • AI Specialization: Hands-on experience with Large Language Models (LLMs), prompt engineering, vector databases, and conversational AI architecture.

NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.

EEO is the Law Poster (The poster can be found at http://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf)

Official description on file with Talent.

NRG logo

About NRG

Sourced by ZipRecruiter

At NRG, we're bringing the power of energy to people and organizations by putting customers at the center of everything we do. We generate electricity and provide energy solutions and natural gas to millions of customers through our diverse portfolio of retail brands. A Fortune 500 company, operating in the United States and Canada, NRG delivers innovative solutions while advocating for competitive energy markets and customer choice, working towards a sustainable energy future. More information is available at www.nrg.com. Connect with NRG on Facebook, LinkedIn and follow us on Twitter @nrgenergy.

Industry

Oil and coal products manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Houston, TX, US

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