Sign up to access all features of our service.
  • Job search
  • Favorites
  • Create a CV
    New
  • Salaries
  • Subscriptions

Machine Learning Operations Engineer

System One

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

System One, and its subsidiaries including Joulé, ALTA IT Services, CM Access, TPGS, and MOUNTAIN, LTD., are leaders in delivering workforce solutions and integrated services 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 full-time 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.

Vacancy posted more than 2 months ago

Do you want to receive more vacancies?

Subscribe and receive similar vacancies to Machine Learning Operations Engineer. Be the first to apply!