InApp Inc. is seeking a Lead MLOps Engineer to design, build, and operate scalable ML platforms. You will own end-to-end ML lifecycle pipelines, automate training, validation, deployment, and monitoring, and ensure security, governance, and reliability in production.
Qualified candidates have 6–10 years in MLOps, hands-on experience with MLflow or Kubeflow, SageMaker, Bedrock, ECS, Docker, CI/CD, and IaC, and strong collaboration with data engineers and software teams.
#J-18808-LjbffrLead MLOps Architect — Remote/Hybrid in palo alto at Unknown Company
This position is listed as full time and onsite.