ALTERNANCE - Chef de Projets de la Direction Comptable & Fiscale F / H

Eatwith; Clamart; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

An innovative company is seeking a Solution Architect to join their dynamic team, focusing on machine learning and deep learning applications. In this role, you will engage with Hyperscalers and end-customers, providing cutting-edge solutions that leverage NVIDIA's advanced technologies. Your expertise will drive relationships with key technical stakeholders, enabling the integration of AI into enterprise computing. This position offers a unique opportunity to work at the forefront of technology, collaborating with engineers and researchers to optimize performance on GPU-accelerated systems. If you're passionate about AI and thrive in a fast-paced environment, this role is perfect for you.

Qualifications

• 3+ years of experience in machine learning, deep learning, or data science.
• Strong communication skills for presenting technical solutions.

Responsabilités

• Develop and demonstrate solutions based on NVIDIA’s GenAI technologies.
• Work with customers to understand challenges and provide solutions.

Connaissances

Machine Learning

Deep Learning

Data Science

Communication Skills

Problem Solving

Formation

MS / PhD in Computer Science

PhD in Data Science

Degree in Engineering or Mathematics

Outils

Docker

Kubernetes

Singularity

Description du poste

NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science applications to work with our Hyperscalers partners. In our Solutions Architecture team, we work with the most exciting platform for accelerated computing and drive the latest breakthroughs in artificial intelligence. We need individuals who can enable customer and partner productivity. Our goal is to develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain alignment in a fast paced and constantly evolving field.

You will be working with the latest HPC architectures coupled with the most advanced neural network models, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA, our Hyperscaler partners and our end-customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key technical executives and managers to evangelize accelerated computing and Generative AI. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of challenges and solutions.

What You’ll Be Doing :

Develop and demonstrate solutions based on Hyperscalers and NVIDIA’s pioneering GenAI software and hardware technologies to developers

Work directly with key customers and our Hyperscalers partners to understand their challenges and provide the best solutions based on NVIDIA products

Perform in-depth analysis and optimization to ensure the best performance on GPU-accelerated systems using NVIDIA software platform. This includes support in optimization of both training and inference pipelines

Partner with Engineering, Product and Sales teams to understand developer’s challenges and plan for the best suitable solutions. Enable development and growth of product features through customer feedback and proof-of-concept evaluations

Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures

What We Need to See :

MS / PhD or equivalent in Computer Science, Data Science, Electrical / Computer Engineering, Physics, Mathematics, other Engineering fields

3+ years of academic and / or industry experience in fields related to machine learning, deep learning and / or data science

You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team)

Excellent ability to listen, both verbal and written communication skills, and being comfortable with presenting technical solutions in English

Expertise in deploying large-scale training and inferencing pipeline on Hyperscaler’s infrastructure

You are a self-starter with interest in growth, passion for continuous learning and sharing findings across the team

Ways to Stand Out from The Crowd :

Experience running and optimizing large scale distributed DL training

Expertise in optimizing inference pipeline, using a range of inferencing technics (e.g., understanding of model compression techniques, model compilation or model serving)

Background with working with larger transformer-based architectures

Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc.

Understanding of HPC systems : data center design, high speed interconnect InfiniBand, cluster storage and scheduling related design and / or management experience