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Data Engineer Ml Jobs in Texas (NOW HIRING)

Nastech Global

AI/ML Engineer

Irving, TX · On-site

Data Engineer -ML We are looking for a highly skilled and passionate Data Engineer with strong Python/PySpark experience and understanding of AL/ML models to implement AL/ML models in OnPrem and ...

EssilorLuxottica

Data & ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

GENERAL FUNCTION The Data & ML Engineer is a self-sufficient engineering professional responsible for designing, building, and operating scalable, secure, and reliable data and machine learning ...

Essilor

Data & ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

GENERAL FUNCTION The Data & ML Engineer is a self-sufficient engineering professional responsible for designing, building, and operating scalable, secure, and reliable data and machine learning ...

EssilorLuxottica Group

Data & ML Engineer

Dallas, TX

$113K - $136K/yr

GENERAL FUNCTION The Data & ML Engineer is a self-sufficient engineering professional responsible for designing, building, and operating scalable, secure, and reliable data and machine learning ...

TriOptus LLC

Senior ML Data Engineer - Remote

Plano, TX · On-site +1

$110K - $132K/yr

Senior ML Data Engineer Feature Engineering ETL Qualifications 7 years in data engineering and at least 4 years focusing on ML feature engineering ETL pipeline development and data preparation for ML ...

Mariana Minerals

Sr. Data Engineer

Houston, TX · On-site

$101K - $137K/yr

ML engineers own the features and models built on top of it. The training and monitoring layer is shared ground you design together. Qualifications : Required : • 4+ years in data engineering or a ...

Peyton Resource Group (PRG)

Be Seen First

AI/ML Data Engineer

Plano, TX · On-site

$120K - $135K/yr

Data Engineering team is looking for a Sr Data Engineer with experience in Snowflake, Datastage, Python and possibly Kafka · As a dedicated AI/ML Engineer, you will leverage technical expertise and ...

New

Xforia, Inc.

Site Reliability Engineer

Austin, TX · On-site

$140K/yr

Site Reliability Engineer SRE - ML platform Responsibilities - * Continuous Deployment using GitHub Actions, Flux, Kustomize * Design and implement cloud solutions, build MLOps on cloud AWS * Data ...

Donato Technologies, Inc

Site Reliability Engineer

Austin, TX · On-site

$56.50 - $75/hr

Site Reliability Engineer SRE - ML platform Responsibilities - * Continuous Deployment using GitHub Actions, Flux, Kustomize * Design and implement cloud solutions, build MLOps on cloud AWS * Data ...

Avride

Software Engineer - ML Platform

Austin, TX · On-site

About the team The ML Platform team at Avride builds the infrastructure that powers large-scale ML training and data processing for autonomous driving. We sit between Cloud Platform and ML engineers ...

Millennium Group

Be Seen First

Sr Data Engineer

Plano, TX · On-site

$109K - $131K/yr

AI/ML experience * Advanced Analytics experience * Experience working with large enterprise data environments

Incedo Inc

Hadoop Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Collaborate with Data Science and ML Engineering teams to align features with use cases * Contribute to feature store architecture and standards * Mentor Feature Engineers and promote engineering ...

Avride

Software Engineer - ML Platform

Austin, TX · On-site

About the team The ML Platform team at Avride builds the infrastructure that powers large-scale ML training and data processing for autonomous driving. We sit between Cloud Platform and ML engineers ...

Lorven Technologies

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Data Engineer Location: Plano, TX (Onsite) looking for an experienced Data Engineer to build and ... Work closely with BI and AI teams to prepare data for dashboards, ML models, and analytics.

Ascentt

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Ascentt is transforming the future of manufacturing through advanced Data Analytics, AI/ML, and Generative AI solutions. They are seeking a passionate Data Engineer to build scalable data platforms ...

Ascentt

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Ascentt is transforming the future of manufacturing through advanced Data Analytics, AI/ML, and Generative AI solutions. They are looking for a passionate Data Engineer to build scalable data ...

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Data Engineer Ml information

What are the key skills and qualifications needed to thrive as a data engineer ML?

To thrive as a Data Engineer ML, you need strong programming skills (especially in Python or Scala), knowledge of data modeling, and a solid foundation in database technologies, typically supported by a degree in computer science or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and ETL tools, as well as relevant certifications, is highly beneficial. Excellent problem-solving abilities, teamwork, and clear communication help you collaborate with data scientists and stakeholders effectively. These skills are essential for building robust data pipelines and infrastructure that enable scalable, high-quality machine learning solutions.

What does a data engineer ML do?

A Data Engineer ML (Machine Learning) is responsible for designing, building, and maintaining the data pipelines and infrastructure necessary for machine learning applications. They clean, process, and organize large datasets to ensure data quality and accessibility for data scientists and ML engineers. In addition, they may work on deploying machine learning models to production environments and optimizing data workflows for efficiency and scalability.

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

AspectData Engineer MlData Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science certifications
Work EnvironmentBuilding data pipelines, managing databasesAnalyzing data, creating models
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, finance

Data Engineer Ml focuses on developing and maintaining data infrastructure and pipelines, while Data Scientists analyze data and build predictive models. Both roles often collaborate but serve different functions within data teams.

How do data engineer ML roles typically collaborate with data scientists and machine learning engineers on projects?

Data Engineer ML professionals work closely with data scientists and machine learning engineers by building and maintaining robust data pipelines, ensuring clean and reliable datasets are readily available for modeling and analysis. They often participate in meetings to understand model requirements, help optimize data storage for performance, and support the deployment of machine learning models into production environments. Effective collaboration involves continuous communication to troubleshoot data issues, implement data validation, and scale solutions as project needs evolve. This teamwork ensures that data-driven projects move efficiently from experimentation to deployment.
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What cities in Texas are hiring for Data Engineer Ml jobs? Cities in Texas with the most Data Engineer Ml job openings:
Data Engineer Ml jobs near you
Infographic showing various Data Engineer Ml job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

ML Data Engineer

Tata Consultancy Service Limited

Irving, TX • On-site

$125K - $140K/yr

Full-time

Posted 5 days ago

Job description

Roles & Responsibilities
Job Title: Data Engineer -ML
Job Description:
We are looking for a highly skilled and passionate Data Engineer with strong Python/PySpark experience and
understanding of AL/ML models to implement AL/ML models in OnPrem and Cloud environment.
In this role, you will be responsible for implementing AL/ML Models in different environments leveraging
Openshift/Kubernetics.
Responsibilities:
Work with data scientists/data engineers to translate prototypes and theoretical models into functional,
production ready code.
Collaborate with product and engineering team to implement AI/ML models using PySpark.
Understanding of AI/ML and large language models (LLMs).
Work on productionalize the AL/ML model in Hadoop environment.
Troubleshoot AI/ML Models post implementation to resolve issue raised by users.
Monitor model performance and continuously improve efficiency, accuracy, and user experience.
Qualifications:
Strong experience in PySpark and Python to integrate with AI/ML Models.
Understanding of AI/ML Models and how they interface with OnPrem and Cloud environments.
Familiarity with ML Ops/LLM Ops and distributed systems.
Experience with Big Data platform like Cloudera Hadoop and Could platforms like AWS, GCP.
Solid understanding of system design patterns, scalability, observability, and performance tuning.
Strong analytical and problem-solving skills.
Passion for exploring and building with emerging technologies.
Salary Range: $125,000 to $140,000 per year

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