MLOps Engineer (AWS ML Tech Stack)
This role is for an MLOps Engineer (AWS ML Tech Stack) on a 12-month contract, paying competitive rates. Requires 3-5 years of experience, expertise in AWS ML services, and mandatory healthcare industry experience. Remote work is available.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 20, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Remote
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
United States
🧠 - Skills detailed
#AWS (Amazon Web Services) #Python #Security #MLflow #SageMaker #Data Processing #Kubernetes #Docker #Spark (Apache Spark) #ML (Machine Learning) #Terraform #Deployment #Monitoring #Compliance #Lambda (AWS Lambda)
Role description
Job Title – MLOps Engineer (AWS ML Tech Stack)
Location – Remote
Role Type – Contract role on w2
Duration – 12 months
Visa – USC, GC, EAD And OPT
Exp. – 3-5 years
NOTE – NO C2C PROFILES
Job Description -
We seek an MLOps Engineer with expertise in AWS ML services (SageMaker, EMR) to automate model training, deployment, and monitoring.
Key Skills:
• AWS ML Stack (SageMaker, EMR, Lambda, Step Functions)
• MLOps Pipelines, CI/CD, Model Versioning (MLflow, Kubeflow)
• Python, Spark, Terraform, Kubernetes (EKS), Docker
• Data Processing & Feature Engineering (Glue, Feature Store)
• Security & Compliance in ML
Health care exp is mandatory
