MLOps L2 Support Engineer (On-Call & Weekend Support)
MLOps L2 Support Engineer (On-Call & Weekend Support)
Location- Reading , PA, Onsite
Required Skills & Experience:
✅ Experience: 5+ years in MLOps, Data Engineering, or Production Support.
✅ Dataiku DSS: Strong experience in Dataiku workflows, scenarios, plugins, and APIs .
✅ Cloud Platforms: Hands-on experience with AWS ML services (SageMaker, Lambda, S3, RDS, ECS, IAM) .
✅ CI/CD & Automation: Familiarity with GitHub Actions, Jenkins, or Terraform .
✅ Scripting & Debugging: Proficiency in Python, Bash, SQL for automation & debugging.
✅ Monitoring & Logging: Experience with Prometheus, Grafana, CloudWatch, or ELK Stack .
✅ Incident Response: Ability to handle on-call support, weekend shifts, and SLA-based issue resolution .
Preferred Qualifications:
➕ Containerization: Experience with Docker, Kubernetes, or OpenShift .
➕ ML Model Deployment: Familiarity with TensorFlow Serving, MLflow, or Dataiku Model API .
➕ Data Engineering: Experience with Spark, Databricks, Kafka, or Snowflake .
➕ ITIL/DevOps Certifications: ITIL Foundation, AWS ML certifications; Dataiku certification
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.
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