MLops Engineer

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

Azure ML
Databricks
MLflow
Docker
AKS/Kubernetes
Databricks/Spark
Feature Stores
Splunk
Azure Monitor
Dynatrace
Prometheus

Job Details

Greetings from WB Solutions....!

We have the Urgent requirement for MLops Engineer at Alpharetta, GA or Berkeley Heights NJ - Long-Term Contract.
Role: MLops Engineer
Location: Alpharetta, GA or Berkeley Heights NJ
 

Must Have Skills

  1. 1 End-to-End ML lifecycle management (Azure ML, Databricks, MLflow)
  2. 2 Monitoring production model serving & data pipelines (Docker, AKS/Kubernetes, Databricks/Spark, Feature Stores)
  3. 3 MLOps CI/CD and observability (Azure DevOps/GitLab/Harness)
  4. 4 Monitoring & drift detection (Splunk, Azure Monitor, Dynatrace, Prometheus)

Good To Have Skills

  1. 1 Autoscaling and API gateway integration
  2. 2 SLA-backed delivery
  3. 3 Advanced deployment strategies (blue-green, canary)
  4. 4 Feature store design and optimization

 

Job Description:

  • Hands-on experience with End-to-end ML lifecycle management with Azure ML, Databricks, and MLflow (experiment tracking, model versioning/registry, dev/test/prod promotion, reproducible builds).
  • Comprehensive knowledge of monitoring production model serving and data pipelines using Docker and AKS/Kubernetes with Databricks/Spark and Feature Stores; autoscaling, API gateway integration, and SLA-backed delivery
  • Proven track record in designing, implementing, and managing MLOps CI/CD and observability: Azure DevOps/GitLab/Harness with validation gates (unit/integration/offline online checks), canary/blue green and rollback; monitoring and drift detection via Splunk/Azure Monitor/Dynatrace/Prometheus.
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