What are the responsibilities and job description for the MLOps L2 Support Engineer position at Resource Informatics Group?
Job Details
Role Title: MLOps L2 Support Engineer
Location City: Reading, PA (Onsite role)
Duration: 12 Months
Rates: DOE
Interview: Two Rounds - Video
Work Schedule: Rotational on-call support (including weekends and nights), shift-based monitoring for ML workflows and Dataiku jobs. Flexible work hours to address production incidents and critical failures.
Role Overview:
We are looking for an experienced MLOps L2 Support Engineer to provide 24/7 production support for Machine Learning (ML) and data pipelines. This role involves on-call rotations, including weekends, to ensure maximum uptime and reliability of ML workflows. The ideal candidate will work hands-on with Dataiku, AWS, CI/CD pipelines, and containerized deployments to maintain and troubleshoot ML models in production environments.
Location City: Reading, PA (Onsite role)
Duration: 12 Months
Rates: DOE
Interview: Two Rounds - Video
Work Schedule: Rotational on-call support (including weekends and nights), shift-based monitoring for ML workflows and Dataiku jobs. Flexible work hours to address production incidents and critical failures.
Role Overview:
We are looking for an experienced MLOps L2 Support Engineer to provide 24/7 production support for Machine Learning (ML) and data pipelines. This role involves on-call rotations, including weekends, to ensure maximum uptime and reliability of ML workflows. The ideal candidate will work hands-on with Dataiku, AWS, CI/CD pipelines, and containerized deployments to maintain and troubleshoot ML models in production environments.
Required Skills & Experience:
- Experience: 5 years in MLOps, Data Engineering, or Production Support
- Dataiku DSS: Advanced knowledge of workflows, plugins, APIs
- Cloud Platforms: Hands-on AWS experience (SageMaker, Lambda, ECS, IAM, etc.)
- CI/CD & Automation: Familiar with tools like GitHub Actions, Jenkins, Terraform
- Scripting: Proficient in Python, Bash, and SQL
- Monitoring Tools: Experience with Prometheus, Grafana, CloudWatch, ELK Stack
- Incident Management: Capable of handling on-call, SLA-based resolutions
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.
MLOps Support Engineer
Octigo Solutions Inc -
Reading, PA
ML Ops Support Engineer
Canopy One Solutions Inc -
Reading, PA
Technical Support Engineer
DISH -
Reading, PA