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Senior MLOps Engineer at Elastic
We are seeking a hands on Senior MLOps Engineer to design implement and operate scalable ML deployment pipelines in production. You will work with data scientists ML engineers and software teams to deliver reliable observable models.
What you will do
- Design implement and maintain production grade MLOps pipelines for ML models
- Build tooling for model training deployment versioning and monitoring
- Ensure CI CD for ML workflows and robust observability for ML services
- Collaborate with data scientists and software engineers to operationalize ML solutions
- Own reliability security and compliance aspects of ML deployments
What we are looking for
- 4 plus years of experience in MLOps ML engineering or a similar role
- Strong Python experience and hands on containerization with Docker and Kubernetes
- Experience with CI CD for ML workloads
- Cloud experience AWS GCP or Azure and familiarity with ML platforms such as MLflow Kubeflow
- Proficiency with infrastructure as code and monitoring and observability tools
About Elastic
Elastic builds search observability security and analytics solutions that help people find and secure data at scale
Location
United States
Benefits
Competitive compensation and benefits with opportunities for growth
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