MLOps Engineer| ML lifecycle, Azure, Docker, AKS/Kubernetes, Feature Stores, Monitoring| Alpharetta, GA / Berkeley Heights, NJ-Locals Preferred CH

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
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

Role: MLOps Engineer (20709-1)

Location: Alpharetta, GA / Berkeley Heights, NJ-Hybrid/Onsite

Duration: 12+ Months

 

Must Have:

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

 

Good To Have:

  • Autoscaling and API gateway integration
  • SLA-backed delivery
  • Advanced deployment strategies (blue-green, canary)
  • Feature store design and optimization


Requirements:

  • 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.

 

 

Shivam Kumar

Technical recruiter | Empower Professionals

......................................................................................................................................

 

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.