about 5 hours ago
Base Salary
$175k - $250k/yr
Responsibilities
- Lead technical onboarding and deployment of AI/ML workloads with enterprise customers.
- Architect and deploy ML workloads using Kubernetes-based stacks.
- Deploy and optimize AI/ML workloads directly on Crusoe infrastructure.
- Assist customers in migrating workloads across AWS, Azure, and GCP.
- Conduct workshops, live demos, and solution reviews.
- Relay customer feedback to internal engineering and product teams.
Requirements
- 7+ years of experience building and deploying containerized workloads.
- Demonstrated success deploying ML frameworks on Kubernetes.
- Familiarity with compute, storage, networking, and scaling in cloud environments.
- Strong customer-facing technical skills and ability to lead technical engagements.
- Proficiency in Linux environments and troubleshooting via CLI.
- Strong communication skills and collaborative mindset.
Benefits
- Competitive compensation and equity packages.
- Comprehensive health, dental & vision insurance.
- Paid time off, holidays, and leave of absence programs.
- Professional development and tuition reimbursement.
- 401(k) Retirement plan with company match.
- Daily meals allowance and commuter benefits.