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AWS MLOps Engineer

Concentrix

midpermanentbackenddatadevops United States 4 days ago via LinkedIn
92,250 - 120,000 USD/annual

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Tags

AWSMLOpsMLflowPythonFastAPICI/CDGitHub ActionsPostgreSQLDockerDatabricks

About the role

AWS MLOps Engineer (ML Engineer)

Join Concentrix’s Technical Products and Services team to help modernize and simplify customer experiences by delivering production-ready machine learning systems on AWS.

Responsibilities

  • Own end-to-end ML lifecycle management, including:
    • Training and evaluation
    • Model registration, versioning, and lifecycle management
    • Deployment of ML models into production
    • Monitoring, performance measurement, and ongoing production support
  • Build cloud-based ML systems and integrate them with CI/CD workflows.

Required Skills

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

Nice to Have

  • Experience with Agentic AI
  • Databricks (Unity Catalog, Jobs & Workflows, Access Management)
  • Strong background in end-to-end production support for deployed ML systems

Compensation & Benefits

  • Base salary: $92,250–$120,000 plus incentives tied to individual and company performance.
  • Benefits for eligible employees: medical/dental/vision, employee assistance program, 401(k), paid time off/holidays, and paid learning days.

About Concentrix

Concentrix is a global technology and services leader focused on intelligent transformation for major brands. Through its Technical Products and Services team, it delivers data, technology, and consulting services such as digital engineering, analytics, and transformation programs to help improve customer experience and business outcomes.

Scraped 6/14/2026

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