Senior Software Engineer, MLOps
Headspace130,000 - 180,000 USD/year
- Internship
- Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries
Requirements
Candidates should possess extensive experience in infrastructure orchestration and multi-cloud environments, along with deep knowledge of tools such as Kubernetes and Terraform. A proven track record in managing scalable and reliable ML infrastructure is essential, along with experience in CI/CD integration and performance optimization.
Responsibilities
The Head of ML Infrastructure will architect and implement an advanced orchestration platform for managing diverse LLMs. They will design solutions for optimizing performance and scalability, utilize Infrastructure as Code tools for automation, and collaborate with DevOps teams for seamless integration. Additionally, they will execute multi-cloud strategies for cost optimization and manage cloud-native services, while also working with ML engineers on deployment strategies and conducting capacity planning.
Skills
Kubernetes
Terraform
Infrastructure Orchestration
CI/CD
Multi-Cloud
Monitoring
Logging
Alerting
Hippocratic AI
About Hippocratic AI
Key Metrics
N/AHeadquarters
N/AYear Founded
N/ACompany Stage