Acumenz Consulting
Machine Learning Operations (MLOps) Engineer – AWS
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Operations (MLOps) Engineer – AWS, remote for 12 months, offering competitive pay. Requires 8+ years in MLOps, strong AWS and Python skills, and experience with ML model deployment and CI/CD.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 5, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Docker #Model Deployment #Monitoring #Programming #Deployment #Lambda (AWS Lambda) #ML (Machine Learning) #Data Engineering #DevOps #Cloud #Automation #AWS (Amazon Web Services) #Terraform #Scala #Containers #GIT #Python #ML Ops (Machine Learning Operations) #S3 (Amazon Simple Storage Service) #IAM (Identity and Access Management) #SageMaker #ECR (Elastic Container Registery)
Role description
Role: Machine Learning Operations (MLOps) Engineer – AWS
Location: Remote
Duration: 12 Months
We are seeking an experienced Machine Learning Operations (MLOps) Engineer with strong AWS expertise to deploy, monitor, and support production-grade machine learning and computer vision solutions. The ideal candidate will have experience building scalable ML pipelines, supporting CI/CD, automating deployments, and maintaining AWS-based production workflows.
Required Skills:
• 8+ years in MLOps, ML Engineering, Cloud Engineering, DevOps, or Data Engineering
• Strong AWS experience (S3, SageMaker, Lambda, Step Functions, CloudWatch, IAM, ECR, ECS)
• Strong Python programming
• Experience with ML model deployment, monitoring, inference pipelines, and production support
• CI/CD, Git, deployment automation, and release management
• Docker/Containers (preferred)
• Terraform, CloudFormation, or AWS CDK (preferred)
• Computer Vision/Image Analytics experience is a plus
Role: Machine Learning Operations (MLOps) Engineer – AWS
Location: Remote
Duration: 12 Months
We are seeking an experienced Machine Learning Operations (MLOps) Engineer with strong AWS expertise to deploy, monitor, and support production-grade machine learning and computer vision solutions. The ideal candidate will have experience building scalable ML pipelines, supporting CI/CD, automating deployments, and maintaining AWS-based production workflows.
Required Skills:
• 8+ years in MLOps, ML Engineering, Cloud Engineering, DevOps, or Data Engineering
• Strong AWS experience (S3, SageMaker, Lambda, Step Functions, CloudWatch, IAM, ECR, ECS)
• Strong Python programming
• Experience with ML model deployment, monitoring, inference pipelines, and production support
• CI/CD, Git, deployment automation, and release management
• Docker/Containers (preferred)
• Terraform, CloudFormation, or AWS CDK (preferred)
• Computer Vision/Image Analytics experience is a plus
