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Machine Learning Operations Manager Jobs in Texas

System One

Machine Learning Operations Engineer

Dallas, TX · On-site

$68K - $93K/yr

Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Visa : USC, GC ... Understanding of ML lifecycle management, including versioning, deployment, and drift detection ...

System One

Machine Learning Operations Engineer

Dallas, TX · On-site

$68K - $93K/yr

Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Visa : USC, GC ... Understanding of ML lifecycle management, including versioning, deployment, and drift detection ...

System One

Machine Learning Operations Engineer

Dallas, TX · On-site

$68K - $93K/yr

Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Visa : USC, GC ... Understanding of ML lifecycle management, including versioning, deployment, and drift detection ...

System One

Machine Learning Operations Engineer

Dallas, TX · On-site

$68K - $93K/yr

Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Visa : USC, GC ... Understanding of ML lifecycle management, including versioning, deployment, and drift detection ...

System One

Machine Learning Operations Engineer

Dallas, TX · On-site

$68K - $93K/yr

Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Visa : USC, GC ... Understanding of ML lifecycle management, including versioning, deployment, and drift detection ...

System One

Machine Learning Operations Engineer

Dallas, TX · On-site

$68K - $93K/yr

Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Visa : USC, GC ... Understanding of ML lifecycle management, including versioning, deployment, and drift detection ...

System One

Machine Learning Operations Engineer

Dallas, TX · On-site

$68K - $93K/yr

Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Visa : USC, GC ... Understanding of ML lifecycle management, including versioning, deployment, and drift detection ...

System One

Machine Learning Operations Engineer

Dallas, TX · On-site

$68K - $93K/yr

Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Visa : USC, GC ... Understanding of ML lifecycle management, including versioning, deployment, and drift detection ...

1872 Consulting

Machine Learning Engineer

Austin, TX · On-site

Striveworks is a leader in Machine Learning Operations for highly regulated industries such as the Department of Defense/U.S. Military. They are seeking a Machine Learning Engineer to be a core ...

Wellby

Learning Operations Specialist

Webster, TX

Manage the end-to-end scheduling and operational execution of training sessions, cohort programs ... Skilled in operating computer equipment and general office machines such as personal computers ...

Wellby

Learning Operations Specialist

Webster, TX · On-site

Manage the end-to-end scheduling and operational execution of training sessions, cohort programs ... Skilled in operating computer equipment and general office machines such as personal computers ...

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Machine Learning Operations Manager information

What is the difference between Machine Learning Operations Manager vs Data Scientist?

AspectMachine Learning Operations ManagerData Scientist
Primary FocusOverseeing ML deployment, infrastructure, and operational workflowsAnalyzing data, building models, and deriving insights
Required SkillsML deployment, cloud platforms, DevOps, project managementStatistics, programming, data analysis, machine learning algorithms
Work EnvironmentCross-functional teams, engineering, IT infrastructureResearch, data analysis, model development
Common CertificationsCloud certifications, ML Ops certificationsData Science certifications, Python/R expertise

The Machine Learning Operations Manager primarily focuses on deploying and maintaining ML systems in production environments, ensuring operational efficiency. In contrast, Data Scientists concentrate on analyzing data and developing models. Both roles require technical skills, but their responsibilities and work environments differ significantly, making each essential in the AI and data ecosystem.

What cities in Texas are hiring for Machine Learning Operations Manager jobs?

Cities in Texas with the most Machine Learning Operations Manager job openings:

Machine Learning Operations Engineer

Dallas, TX • On-site

System One
Business Consulting Services • 5 - 10K employees
Learn more about System Oneexternal

$68K - $93K/yr

Contractor

Re-posted 3 days ago

Job description

Job Title: Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Visa : USC, GC, EAD (Only W2, No Sponsorship)

Responsibilities

  • Optimize and maintain large-scale feature engineering pipelines using PySpark, Pandas, and PyArrow on Hadoop-based infrastructure.
  • Refactor and modularize ML codebases to enhance reusability, maintainability, and performance.
  • Collaborate with platform teams on compute capacity planning, resource allocation, and system upgrades.
  • Integrate with existing model serving frameworks to support testing, deployment, and rollback processes.
  • Monitor and troubleshoot production ML pipelines, ensuring high reliability, low latency, and cost efficiency.
  • Contribute to internal ML platforms by sharing insights, proposing improvements, and documenting best practices.
  • Build near real-time ML pipelines using Kafka and Spark Streaming.
  • Work with AWS and SageMaker MLOps ecosystem.
Requirements
  • 6+ years of experience in software engineering, data engineering, or MLOps roles.
  • Strong programming expertise in Python, with hands-on experience in Pandas, PySpark, and PyArrow.
  • Deep understanding of the Hadoop ecosystem, distributed computing, and performance tuning.
  • Experience with CI/CD pipelines and best practices in ML environments.
  • Hands-on experience with monitoring tools for ML pipeline health and performance.
  • Strong collaboration skills with experience working in cross-functional teams (platform, data science, engineering).
  • Experience contributing to or building internal MLOps frameworks/platforms.
  • Familiarity with SLURM clusters or other distributed job schedulers.
  • Exposure to Kafka, Spark Streaming, or other real-time data processing technologies.
  • Understanding of ML lifecycle management, including versioning, deployment, and drift detection.

#M1 #DI-CB2 #L1 - KB1

Ref: #404-IT Pittsburgh

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About System One

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System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US

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