Machine Learning Operations Engineer

System One

Dallas, TX

JOB DETAILS
SALARY
$120,000–$120,000 Per Hour
SKILLS
Amazon Web Services (AWS), Apache Hadoop, Best Practices, Capacity Management, Computer Programming, Consulting, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Processing, Data Science, Distributed Computing, Documentation, Ecosystems, High Reliability, Identify Issues, Machine Learning, Machining Operations, Outsourcing, Performance Tuning/Optimization, Production Control, Python Programming/Scripting Language, Refactoring, Resource Management, Service Delivery, Software Engineering, Systems Administration/Management, Team Player
LOCATION
Dallas, TX
POSTED
Today

Job Title: Machine Learning Operations Engineer
Location: Dallas, Texas
Type: Contract To Hire
Compensation: $60.00 - $120,000.00
Work Model: Onsite – onsite
Hours: 40.0
Security Clearance: None specified

Overview
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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.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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About the Company

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System One

Every day, System One focuses on services and solutions that require a high degree of specialization, in-demand technical skills, and large-scale operational expertise. We are essential partners to those on the front lines of our nation’s most critical infrastructure, technology, and life sciences initiatives. 

Founded more than 40 years ago as a staffing partner to the engineering industry, today System One is a diversified organization operating in over 50 locations and putting more than 9,000 people to work in the United States, Canada, and the United Kingdom.

COMPANY SIZE
2,500 to 4,999 employees
INDUSTRY
Staffing/Employment Agencies
WEBSITE
https://systemone.com