Machine Learning Operations Engineer
Dallas , Texas
Experience: 0
Category: Information Technology
Contractor Work Model: Onsite
Brand: System One
Compensation Range: 120000.00 Per Hour
Job ID: 376651
Date Posted: 07/09/2026
Shortcut: http://jobs.systemone.com/9A6Bt1
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
Leave placeholder text here for recruiter to input
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.
- 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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