Senior Machine Learning Engineer II
Is this job for you?
Build my CV Build your CV and see how well you match this role — and every other one.
Track your applications on mobile The free Whileresume app, on iPhone and Android.
The role
Design and implement scalable ML infrastructure using Ray to support model training, deployment, and inference at scale.
Leverage Kubernetes to orchestrate containerized applications and manage ML models and services.
Develop and maintain CI/CD pipelines for automated testing, deployment, and lifecycle management of ML applications.
Implement robust monitoring, logging, and alerting to ensure high availability, performance, and security of the ML platform.
Collaborate with data scientists and ML engineers to optimize data pipelines and model performance, while staying current with ML advancements and best practices.
Provide DevOps/SRE support, incident response, performance tuning, disaster recovery planning, and promote a customer-focused, long-term, and inclusive culture.
Leverage Kubernetes to orchestrate containerized applications and manage ML models and services.
Develop and maintain CI/CD pipelines for automated testing, deployment, and lifecycle management of ML applications.
Implement robust monitoring, logging, and alerting to ensure high availability, performance, and security of the ML platform.
Collaborate with data scientists and ML engineers to optimize data pipelines and model performance, while staying current with ML advancements and best practices.
Provide DevOps/SRE support, incident response, performance tuning, disaster recovery planning, and promote a customer-focused, long-term, and inclusive culture.
See the full job post
Responsibilities, requirements, skills and benefits — create your free account.
or
Already have an account?
Log inYou might also like these jobs
No closely matching jobs yet — here are the most recent ones.