Senior MLOps Engineer

Role Overview

• You’ll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best production setup from the low-level GPU stack up to infrastructure, back-end and front-end interfaces.
• You’ll work on deploying state-of-the-art AI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
• You’ll work in collaboration with our researchers, other AI engineers, and product engineers on our most complex customer projects involving deployment, scaling, and contributing to our open-source codebases for tasks such as inference and fine-tuning.
• You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.

Requirements

• You are fluent in English
• You hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• You have 5+ years of experience in a DevOps or Site Reliability Engineering role
• You're experienced with deploying and managing AI-based products in production environments
• You are fluent in Python
• You have experience with containerization technologies such as Docker and Kubernetes
• You have experience with CI/CD pipelines and automated deployment tools
• You have deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure
• You are experienced with infrastructure as code (IaC) tools such as Terraform or Ansible
• You hold strong communication skills with an ability to explain complex technical concepts in simple terms to technical and non-technical audiences

Ideally you have:

• Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager
• Familiarity with AI frameworks such as PyTorch or TensorFlow
• Contributions to open-source projects, particularly in the space of DevOps or AI

Tech Stack

• Ansible
• AWS
• Azure
• Cloud
• Docker
• Google Cloud Platform
• Kubernetes
• Python
• PyTorch
• Tensorflow
• Terraform

Benefits

💰 Competitive salary and bonus structure 🚀 Generous Equity 🧑‍⚕️ Health : Competitive Healthcare program 👴🏻 Pension : 401K (6% matching) 🏝️ PTO : 18 days 🚗 Transportation: Reimburse office parking charges, or $120/month for public transport 🤝 Coaching: we offer Betterup coaching on a voluntary basis 🏀 Sport: $120/month reimbursement for gym membership 🥕 Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger) 🌎 Visa sponsorship