Applied AI Engineer, Senior/Staff Devops/SRE
Remote • Singapore
Posted 1y ago
Job Location
Singapore
Tech Stack
Remote Work Policy
Fully remote
Categories
Applied AI Engineer
About the job
Mistral AI is seeking an Applied AI Engineer focused on DevOps to help customers adopt its products and solve complex technical challenges. In this role, you will apply your problem-solving abilities, creativity, and technical skills to assist organizations in leveraging AI for significant impact. You will gain unique insights and contribute to critical global industries and institutions. Applied AI Engineers at Mistral AI work in small teams, owning end-to-end execution of high-stakes projects, which may involve discussing architecture, managing large-scale data, coding custom applications, engaging with customer executives, and strategizing for the Applied Engineering team.
Responsibilities
- Onboard customers to Mistral AI products, guiding deployment and integration, and ensuring optimal production setups from the GPU stack to infrastructure and interfaces.
- Deploy state-of-the-art AI applications for consumer and industrial use cases, driving technological transformation with customers.
- Collaborate with researchers, AI engineers, and product engineers on complex customer projects, focusing on deployment, scaling, and contributing to open-source codebases for tasks like inference and fine-tuning.
- Participate in pre-sales calls to understand client needs, provide technical guidance on products, and explain Mistral technologies to diverse stakeholders.
Requirements
- Fluent in English.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 2+ years of experience in a DevOps or Site Reliability Engineering role.
- Experience deploying and managing AI-based products in production environments.
- Fluent in Python.
- Experience with containerization technologies like Docker and Kubernetes.
- Experience with CI/CD pipelines and automated deployment tools.
- Deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure.
- Experience with infrastructure as code (IaC) tools such as Terraform or Ansible.
- Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
Benefits
- Competitive cash salary and equity
- Health Insurance
- $90 monthly allowance for gym membership
- $200 monthly allowance for meals
- $120/month for public transport or parking charges reimbursement