MLOps Support Engineer (L2)(Local to PA)

Reading, PA, US • Posted 3 hours ago • Updated 3 hours ago
Contract W2
Occasional Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Machine Learning (ML)
  • Production Support
  • Python
  • Workflow
  • Terraform
  • SQL
  • Jenkins
  • ELK
  • AWS
  • Lambda
  • Dataiku
  • Continuous Integration
  • Continuous Delivery
  • Debugging

Summary

Role: MLOps Support Engineer (L2)

Exp: 10+ Years

Location: Reading, PA

Skills Required:

  • MLOps L2 Support Engineer to provide 24/7 production support for machine learning (ML) and data pipelines
  • The role requires on-call support, including weekends, to ensure high availability and reliability of ML workflows
  • The candidate will work with Dataiku, AWS, CI/CD pipelines, and containerized deployments to maintain and troubleshoot ML models in production.
  • Strong experience in Dataiku workflows, scenarios, plugins, and APIs.
  • Hands-on experience with AWS ML services (SageMaker, Lambda, S3, RDS, ECS, IAM).
  • Familiarity with GitHub Actions, Jenkins, or Terraform.
  • Proficiency in Python, Bash, SQL for automation & debugging.
  • Experience with Prometheus, Grafana, CloudWatch, or ELK Stack.
  • Ability to handle on-call support, weekend shifts, and SLA-based issue resolution.

Work Schedule & On-Call Requirements:

  • Rotational on-call support (including weekends and nights).
  • Shift-based monitoring for ML workflows and Dataiku jobs.
  • Flexible work schedule to handle production incidents and critical ML model failures.
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: 90734850
  • Position Id: 8931374
  • Posted 3 hours ago
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