Applied AI Engineer ML Infrastructure Engineer DevOps
Posted Updated
Description
You will onboard customers, guide deployment and integration, and establish production AI infrastructure from GPU stacks through application interfaces. You will deploy and scale AI applications, contribute to inference and fine-tuning codebases, and provide technical guidance during pre-sales conversations.
Responsibilities
- Onboard customers and guide product deployment and integration
- Establish production infrastructure from GPU stacks to front-end interfaces
- Deploy AI applications for consumer and industrial use cases
- Collaborate on customer projects involving deployment and scaling
- Contribute to open-source codebases for inference and fine-tuning
- Provide technical guidance during pre-sales calls
Requirements
- Fluency in English
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 2+ years of DevOps or Site Reliability Engineering experience
- Experience deploying and managing AI products in production
- Python
- Docker
- Kubernetes
- CI/CD pipelines and automated deployment tools
- AWS, Azure, GCP, and on-premises infrastructure
- Terraform or Ansible
- Ability to explain technical concepts to technical and non-technical audiences
Benefits
- Healthcare coverage
- Parental leave
- Retirement plans
- Relocation support
- Wellness programs
- Meal allowances
- Transportation allowances
- Location-specific perks