Senior Ml Engineer

Community Brands

Atlanta, GA, United States
Hybrid
Mlops on aws
Production ml models
Scalable apis and batch jobs
Productionize machine learning and optimization models as scalable APIs, batch jobs, and event-driven services

Job Summary

  • Productionize machine learning and optimization models as scalable APIs, batch jobs, and event-driven services.
  • Build and maintain ML deployment pipelines on AWS using container, serverless, and Kubernetes-based patterns.
  • Momentive Software actively embraces diversity and equal opportunity in a meaningful way.

Matching Summary

Productionize machine learning and optimization models as scalable APIs, batch jobs, and event-driven services.

Skills & Requirements

Must-have

  • MLOps on AWS
  • Production ML models
  • Scalable APIs and batch jobs
  • Container and serverless patterns
  • Model monitoring and validation
  • Python and ML frameworks

Nice-to-have

  • Mentoring engineers
  • Drive architecture standards
  • NLP and optimization models
  • Multi-cloud environments

Key Requirements

  • 7+ years software/platform engineering
  • 3+ years ML engineering/MLOps
  • Deploy ML models on AWS
  • AWS SageMaker, ECS, EKS, Lambda
  • Python, Java, Scala, or Go
  • ML frameworks like scikit-learn, TensorFlow
  • Build REST APIs
  • Kubernetes and CI/CD
  • Bachelor's or Master's degree

Work Rights

Eligibility to work in the United States (without sponsorship)

Tailored Resume

Cover Letter