6 months ago
Denver, CO, USA +2 moreSenior / Staff+
Base Salary
$175k - $250k/yr
Responsibilities
- Lead technical onboarding and deployment of AI/ML workloads with enterprise customers.
- Own the proof of concept process and optimize workloads post-sale.
- 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 with Kubernetes.
- Demonstrated success deploying ML frameworks on Kubernetes.
- Familiarity with cloud infrastructure in AWS, GCP, or Azure.
- Strong customer-facing technical skills for stakeholder engagement.
- Proficiency in Linux environments and CLI troubleshooting.
- Excellent communication skills and collaborative mindset.
Benefits
- Competitive compensation and restricted stock units.
- Paid time off and paid holidays.
- Comprehensive health, dental, and vision insurance.
- Employer contributions to HSA account.
- Paid parental leave and life insurance.
- Professional development and tuition reimbursement.
- Mental health and wellness support.
- Commuter benefits and cell phone stipend.
- 401(k) retirement plan with company match.
- Volunteer time off.