Applied AI, Senior MLOps Engineer - New York, NY, United States
1 day ago
Job description
About Mistral
At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.
We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.
We are a dynamic, collaborative team passionate about AI and its potential to transform society.
Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.
Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on
About The Job
Mistral AI is seeking an Applied AI Engineer focused on DevOps to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.
Applied AI Engineers, ML Infra at Mistral AI work directly with customers to quickly understand their greatest challenges and design and implement AI solutions. In this role, you'll apply your problem-solving ability, creativity, and technical skills to help organizations use AI to drive real impact in the world. You'll have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions globally
Applied AI Engineers, ML Infra responsibilities look similar to those of a startup CTO: you'll work in small teams and own end-to-end execution of high-stakes projects. A day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing a strategy for the Applied Engineering team.
What you will do
• 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.
About you
• 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
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
Similar jobs
In the Predictive Analytics AI group we build data-driven highly distributed machine learning systems. · ...
1 week ago
We are partnering with an innovative health-tech startup building patient-focused agentic AI and LLM applications to advance capabilities in medical claims in hospitals. · ...
4 weeks ago
Bloomberg's Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. · ...
1 month ago
We're seeking passionate, innovative minds to join our journey. · As a Senior MLOps Engineer on our Product Innovations team, you will serve as the technical lead for Applied MLOps,Bridging the gap between experimental data science and production-grade efficiency. · ...
2 weeks ago
Bloomberg's Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or team ...
2 weeks ago
<p dv01 is lifting the curtain on the largest financial market in the world structured finance The $16+ trillion market is the backbone of everyday activities that empower financial freedom from consolidating credit card debt and refinancing student loans to buying a home and sta ...
1 week ago
We're looking for a senior cloud and platform engineer to join our team at dv01. · You will design, build, and operate cloud-native infrastructure and platform tooling that accelerates AI development across the company. · You will focus on the operational foundations of AI system ...
1 week ago
A high‑growth AI team within a major national healthcare technology organization is hiring MLOps Engineers (Mid → Staff) to operate and scale production ML systems. · ...
1 month ago
Tiger Analytics is looking for experienced Machine Learning Engineers to join our fast-growing advanced analytics consulting firm. · We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. · ...
1 week ago
We are looking for a Senior MLOps engineer to work closely with Data Scientists to build and deploy ML models on a modern MLOps stack. · As Lead Machine Learning Engineer on the Recommendation Engine team, you'll build and maintain pipelines for distributed model training on larg ...
2 weeks ago
We are looking for a Senior MLOps engineer to work closely with Data Scientists to build and deploy ML models on a modern MLOps stack. · As Lead Machine Learning Engineer on the Recommendation Engine team, you'll build and maintain pipelines for distributed model training on larg ...
2 weeks ago
We are seeking an experienced MLOps Engineer - AWS Devops to join our team. · Award-winning total workforce solutions company recognized by Staffing Industry Analysts for accelerated growth. · Over 5500+ employees globally with 30+ locations in the US. · ...
3 weeks ago
We're partnering with a leading AI group building large-scale infrastructure to train deploy and operate cutting-edge LLMs in production.As a Senior MLops Engineer you'll design and scale the platforms pipelines and observability tooling that keep these models performant reliable ...
1 month ago
+We are looking for a Senior MLOps engineer to build and deploy ML models on a modern MLOps stack. · +Build deploy maintain robust pipelines for distributed training on GPU enabled clusters · +B S in Computer Science related Engineering field with years of experience Or MS degree ...
2 weeks ago
We are looking for a Senior MLOps engineer to work closely with Data Scientists to build and deploy ML models on a modern MLOps stack. · Build, deploy, and maintain robust pipelines for distributed training on GPU-enabled clusters to support scalable machine learning workflows. · ...
2 weeks ago
We are looking for a Senior MLOps engineer to work closely with Data Scientists to build and deploy ML models on a modern MLOps stack. · As Lead Machine Learning Engineer on the Recommendation Engine team, you'll build and maintain pipelines for distributed model training on larg ...
1 month ago
We are looking for a Senior MLOps engineer to build and deploy ML models on a modern MLOps stack. · ...
2 weeks ago
+We are seeking a highly skilled Machine Learning Operations Engineer with strong backend and platform engineering experience to design, build, and operate scalable machine learning systems in production. · The ideal candidate has deep expertise in Python. · +Bachelor's or Master ...
3 days ago
We are looking for a Senior MLOps engineer to work closely with Data Scientists to build and deploy ML models on a modern MLOps stack. · Build, deploy, and maintain robust pipelines for distributed training on GPU-enabled clusters to support scalable machine learning workflows. · ...
1 month ago
We are looking for a Senior MLOps engineer to work closely with Data Scientists to build and deploy ML models on a modern MLOps stack. · Build, deploy and maintain robust pipelines for distributed training on GPU-enabled clusters to support scalable machine learning workflows. · ...
1 month ago