MLOps Engineer building production ML infrastructure, pipelines, and monitoring for exacare ai’s post - acute care AI platform. Scaling reliable systems that help healthcare teams make safer placement decisions.
About the role
- Applied AI Engineer at Mistral AI integrating AI products for clients, managing complex technical challenges while working in a collaborative environment.
Responsibilities
- You’ll be responsible for onboarding customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces.
- You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
- You’ll individually help deploy into production use cases with a considerable business impact across various industries.
- You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, 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.
- Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback
Requirements
- You are fluent in English
- You hold a PhD / master in AI / data science.
- You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
- You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases
- You have deep understanding of concepts and algorithms underlying machine learning and LLMs
- You're experienced with building and deploying LLMs or NLP applications
- You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.
- You have strong technical coding skills in Python
- You have experience with deep learning with Pytorch
- You have experience with agents framework such as Langchain, vector DBs
- You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences
- Ideally you have:
- Contributed to open-source projects in particular in the space of LLMs
- Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager
Benefits
- 💰 Competitive salary and bonus structure
- 🚀 Generous Equity
- 🧑⚕️ Health : Competitive Healthcare program (Medical Provider: Blueshield of California 100% coverage for employee, 75% for dependents)
- 👴🏻 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
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