MLOps Engineer – Contract (6+ Months)
📍 Berkeley Heights, NJ | 🔧 Hybrid/Onsite (if needed)
We are looking for an experienced MLOps Engineer to support end-to-end ML lifecycle operations and production model monitoring.
Key Skills
- ML lifecycle tools: Azure ML, Databricks, MLflow
- Model deployment & pipelines: Docker, Kubernetes/AKS, Spark, Feature Stores
- CI/CD: Azure DevOps, GitLab, or Harness
- Monitoring & drift detection: Splunk, Azure Monitor, Dynatrace, Prometheus
Role Responsibilities
- Manage ML lifecycle: experiment tracking, model registry, and dev/test/prod deployments
- Deploy and monitor ML models in production using Kubernetes and Databricks
- Build and maintain MLOps CI/CD pipelines with validation gates and rollback strategies
- Implement observability, model drift monitoring, dashboards, and alerts
- Collaborate with Data Science and Cloud teams to ensure reliable ML delivery
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MicroStrategy Developer
Onsite @ New York
3Months project
they need help with migration off MicroStrategy platform specifically.
Needs to Do upgrades in MicroStrategy
Phani B.
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