MLOps L2 Support Engineer

Role: MLOps L2 Support Engineer
Location: Reading, PA
Duration: Long Term

Key Responsibilities:
Incident Management & Support:
·       Provide L2 support for MLOps production environments, ensuring uptime and reliability.
·       Troubleshoot ML pipelines, data processing jobs, and API issues.
·       Monitor logs, alerts, and performance metrics using Dataiku, Prometheus, Grafana, or AWS tools such CloudWatch.
·       Perform root cause analysis (RCA) and resolve incidents within SLAs.
·       Escalate unresolved issues to L3 engineering teams when needed.

Dataiku Platform Management:
·  Manage Dataiku DSS workflows, troubleshoot job failures, and optimize performance.
·   Monitor and support Dataiku plugins, APIs, and automation scenarios.
·   Collaborate with Data Scientists and Data Engineers to debug ML model deployments.
·       Perform version control and CI/CD integration for Dataiku projects.

Deployment & Automation:
·  Support CI/CD pipelines for ML model deployment (Bamboo, Bitbucket etc).
·  Deploy ML models and data pipelines using Docker, Kubernetes, or Dataiku Flow.
·  Automate monitoring and alerting for ML model drift, data quality, and performance.
Cloud & Infrastructure Support:
·       Monitor AWS-based ML workloads (SageMaker, Lambda, ECS, S3, RDS).
·       Manage storage and compute resources for ML workflows.
·     Support database connections, data ingestion, and ETL pipelines (SQL, Spark, Kafka).
Security & Compliance:
·    Ensure secure access control for ML models and data pipelines.
·    Support audit, compliance, and governance for Dataiku and MLOps workflows.