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Applied AI Engineer, ML Infra - Singapore

Mistral AI democratizes AI through high-performance, optimized, open-source models, products and solutions, offering a comprehensive AI platform for enterprises.
DevOps
Mid-Level Software Engineer
In-Person
51 - 100 Employees
2+ years of experience
AI · Enterprise SaaS
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Description For Applied AI Engineer, ML Infra - Singapore

Mistral AI, a pioneering company in AI technology, is seeking an Applied AI Engineer focused on DevOps to join their team in Singapore. This role combines technical expertise in DevOps and AI infrastructure with customer-facing responsibilities, making it an unique opportunity for those passionate about both technology and business impact.

The position requires a skilled professional with at least 2 years of DevOps or SRE experience, who will be responsible for helping customers implement and optimize Mistral AI's solutions. The role involves working with cutting-edge AI technologies, from low-level GPU infrastructure to full-stack applications, while collaborating with a diverse team spread across France, USA, UK, Germany, and Singapore.

As an Applied AI Engineer, you'll function similarly to a startup CTO, owning end-to-end execution of high-stakes projects. Your days will be diverse, involving technical architecture discussions, data handling at scale, application development, and executive-level customer interactions. The role requires strong technical skills in Python, containerization, cloud platforms, and infrastructure as code, combined with excellent communication abilities.

Mistral AI offers a competitive compensation package including equity, comprehensive health insurance, and various allowances for gym membership, meals, and transportation. The company culture emphasizes creativity, collaboration, and low-ego teamwork, making it an ideal environment for those who want to make a meaningful impact in the AI industry while working with enterprise-level clients.

This is an excellent opportunity for someone who wants to be at the forefront of AI technology deployment while working with a company that's actively shaping the future of AI through both open-source and enterprise solutions. The role offers unique exposure to various industries and institutions globally, making it an exceptional opportunity for professional growth and impact.

Last updated a month ago

Responsibilities For Applied AI Engineer, ML Infra - Singapore

  • Onboarding customers on products, providing guidance on deployment and integration
  • Ensuring best production setup from GPU stack to infrastructure and interfaces
  • Deploying state-of-the-art AI applications from consumer products to industrial use cases
  • Collaborating with researchers and engineers on complex customer projects
  • Participating in pre-sales calls to understand client needs
  • Contributing to open-source codebases for inference and fine-tuning tasks

Requirements For Applied AI Engineer, ML Infra - Singapore

Python
Kubernetes
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 2+ years of experience in DevOps or Site Reliability Engineering
  • Experience with deploying and managing AI-based products in production
  • Fluency in Python
  • Experience with 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 like Terraform or Ansible
  • Strong communication skills
  • Fluent in English

Benefits For Applied AI Engineer, ML Infra - Singapore

Medical Insurance
  • Competitive cash salary and equity
  • Health Insurance
  • $90 gym membership allowance
  • $200 monthly meal allowance
  • $120/month for public transport or Parking charges reimbursed

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