Senior AI Deployment & Platform Engineer

Mistral Ai; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

Mistral Ai in Singapore is seeking a DevOps/SRE professional to join our expanding team. You will ensure smooth onboarding of customers, guide deployment and integration, and optimize production setups from GPU stacks to interfaces.

You will deploy state-of-the-art AI applications across consumer and industrial use cases, collaborate with researchers and product engineers on complex projects, and participate in pre-sales discussions to articulate our technology to clients.

Qualifications

• 2+ years of experience in a DevOps or Site Reliability Engineering role.
• Fluent in English (verbal and written).
• Experience deploying and managing AI-based products in production.
• Proficient in Python programming.
• Strong experience with Docker and Kubernetes.
• Experience with CI/CD pipelines and automated deployment tools.
• Hands-on in cloud platforms (AWS, Azure, GCP) and on-prem infrastructure.
• Experience with infrastructure as code tools such as Terraform or Ansible.
• Excellent communication and ability to explain complex tech to non-technical stakeholders.

Responsibilities

• Onboard customers, guide deployment, and ensure production-ready GPU, back-end, and front-end setups.
• Deploy AI apps from consumer to industrial use cases with customers, driving transformation.
• Collaborate with researchers and engineers on deployment, scaling, and open-source work.
• Participate in pre-sales calls to understand client needs and explain Mistral tech.

Skills

Python

Docker

Kubernetes

CI/CD

Cloud platforms (AWS/Azure/GCP)

Terraform / Ansible (IaC)

English (Fluent)

Communication skills

Education

Bachelor's or Master's in Computer Science, Engineering or related field

Job description

Mistral Ai in Singapore is seeking a DevOps/SRE professional to join our expanding team. You will ensure smooth onboarding of customers, guide deployment and integration, and optimize production setups from GPU stacks to interfaces.

You will deploy state-of-the-art AI applications across consumer and industrial use cases, collaborate with researchers and product engineers on complex projects, and participate in pre-sales discussions to articulate our technology to clients.