ML Engineer

Remote • Posted 2 hours ago • Updated 2 hours ago
Contract W2
Remote
Depends on Experience
Fitment

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Summary

ML Systems Engineer
AI & Data Team | Individual Contributor
Contract-To-Hire
No C2C or third-party candidates will be considered for this role. Direct applicants only.

We’re looking for an ML Systems Engineer to help build and scale the infrastructure that powers machine learning models in production. In this role, you’ll partner closely with ML scientists to take models from experimentation to real-world impact—ensuring they run reliably, efficiently, and at scale across a large, distributed environment.


What You’ll Do

  • Build and maintain ML model serving infrastructure, including APIs, batch pipelines, and real-time scoring systems
  • Develop and manage data pipelines that transform raw data into features for model training and inference
  • Implement monitoring, alerting, and retraining workflows to ensure model performance and reliability
  • Collaborate with ML scientists to productionize models into scalable, containerized services
  • Support production systems through on-call rotations, troubleshooting, and incident resolution

What You Bring

  • Strong software engineering skills, with proficiency in Python and production-level coding practices
  • Experience deploying ML models using tools like FastAPI, TensorFlow Serving, TorchServe, or similar
  • Hands-on experience with data pipeline tools (Airflow, Spark, dbt) and streaming technologies (Kafka, Kinesis)
  • Familiarity with containerization (Docker) and orchestration (Kubernetes, EKS)
  • Experience working with cloud platforms (AWS, Azure, or GCP)
  • Understanding of CI/CD and automated deployment practices
  • Ability to collaborate cross-functionally and translate experimental models into production systems

Qualifications

  • 2–4 years of software engineering experience, with at least 1 year in ML systems, MLOps, or data engineering
  • Experience deploying end-to-end ML systems in a production environment
  • Bachelor’s degree in Computer Science, Engineering, or related field
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10286200
  • Position Id: 250057
  • Posted 2 hours ago
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