Speria MTech is seeking a skilled MLOps Engineer to operationalize machine learning and optimization systems. You will build deployment pipelines, serve models at scale, and manage lifecycle workflows across integrated platforms.
The role emphasizes observability, cost-efficient cloud deployments, and collaboration with ML Engineers and Data Engineers to productionize models and automate workflows. You will help standardize patterns and reduce operational complexity while enabling enterprise AI
#J-18808-LjbffrMLOps Engineer — Production ML Systems & Deployment in dunwoody at Unknown Company
This position is listed as full time and onsite.