A MESSAGE FROM SETH HICKLEY - SEARCHING FOR THE GENUISES OF MACHINE INTELLIGENCE In the world of machine learning models are only as powerful as the systems that deploy them. Thats where you come in. As an ML Ops Engineer you are the Ultron of infrastructureminus the apocalyptic tendencies. You dont just automateyou orchestrate. You build pipelines that hum with precision monitor models like sentinels and ensure that intelligent systems stay intelligent in production. Whether youre a junior engineer assembling your first CI/CD workflow or a senior ops strategist whos already containerized versioned and scaled models across cloud-native environments your work is the silent force behind every smart decision. Im scanning for engineers who treat latency like a bug downtime like betrayal and automation like art.
Skills & Experience: CI/CD for ML workflows Docker Kubernetes Airflow Model versioning monitoring and rollback strategies Cloud-native ML infrastructure (AWS SageMaker Azure ML GCP Vertex AI) Feature stores experiment tracking and scalable deployment Infrastructure as Code (Terraform CloudFormation)
A MESSAGE FROM SETH HICKLEY - SEARCHING FOR THE GENUISES OF MACHINE INTELLIGENCEIn the world of machine learning models are only as powerful as the systems that deploy them. Thats where you come in. As an ML Ops Engineer you are the Ultron of infrastructureminus the apocalyptic tendencies. You dont ...
A MESSAGE FROM SETH HICKLEY - SEARCHING FOR THE GENUISES OF MACHINE INTELLIGENCE In the world of machine learning models are only as powerful as the systems that deploy them. Thats where you come in. As an ML Ops Engineer you are the Ultron of infrastructureminus the apocalyptic tendencies. You dont just automateyou orchestrate. You build pipelines that hum with precision monitor models like sentinels and ensure that intelligent systems stay intelligent in production. Whether youre a junior engineer assembling your first CI/CD workflow or a senior ops strategist whos already containerized versioned and scaled models across cloud-native environments your work is the silent force behind every smart decision. Im scanning for engineers who treat latency like a bug downtime like betrayal and automation like art.
Skills & Experience: CI/CD for ML workflows Docker Kubernetes Airflow Model versioning monitoring and rollback strategies Cloud-native ML infrastructure (AWS SageMaker Azure ML GCP Vertex AI) Feature stores experiment tracking and scalable deployment Infrastructure as Code (Terraform CloudFormation)
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