AWS MLOps Engineer

Concentrix • Usa, TX

3d • Remote

About The Position

We are looking for an ML Engineer / MLOps Engineer with experience in ML lifecycle management, model deployment, and cloud-based ML systems. The ideal candidate should have hands-on expertise in training, evaluating, deploying, versioning, and monitoring ML models in production environments.

Requirements

• ML / MLOps 2+ years of experience in: MLflow / Spark ML
• Python and ML libraries
• Model training and evaluation
• Model registration, versioning, and lifecycle management
• Model deployment, CI/CD, and GitHub Actions
• Model monitoring and performance metrics
• AWS Cloud 2+ years of experience with: Amazon ECS
• Amazon ECR
• Amazon API Gateway
• Amazon RDS
• Application Load Balancer
• Amazon S3
• Backend 1+ year of experience in: FastAPI
• REST API development
• SQL and relational data modeling
• PostgreSQL
• SQLAlchemy / ORM

Nice To Haves

• Experience with Agentic AI
• Databricks (Unity Catalog, Jobs & Workflows, Access Management)
• Experience with end-to-end ML lifecycle management including: training deployment versioning monitoring production support

Responsibilities

• ML lifecycle management
• Model deployment
• Cloud-based ML systems
• Training ML models
• Evaluating ML models
• Deploying ML models
• Versioning ML models
• Monitoring ML models in production environments

Benefits

• medical, dental, and vision insurance
• comprehensive employee assistance program
• 401(k) retirement plan
• paid time off and holidays
• paid learning days

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed