Solutions Architect, Data Analytics for LLMs

Key Skills

Aartificial intelligence, Analytical and Problem solving, C++, Dask - Python library, Data Analytics, Data science techniques, DevOps, Docker, Effective communication skills, GPUs, Kubernetes-K8s, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), NumPy, Pandas, Planning and organization, Python Programming, SPARK Programming

Job Description

As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations to driving relationships with key executives and managers to evangelize the adoption NVIDIA based AI technology. Dynamically engaging with developers, scientific researchers, data scientists, IT managers, and senior leaders is a significant part of the Solutions Architect role and will give you experience with a range of partners and technologies.

What You’ll Be Doing:

• Work directly with key customers to understand their technology and suggest/develop optimized approaches to the problems they are currently solving.

• Develop and demonstrate solutions based on NVIDIA’s frameworks, such as RAPIDS and its integration with DASK as well as GPU accelerated Spark.

• Support customers in adoption of the NVIDIA GPU-accelerated data science libraries including their application for generation of LLM training and RAG inference datasets.

• Perform in-depth analysis and optimization to ensure the best performance on GPU-based systems. This includes support in optimization of both training and inference data ingestion pipelines.

• Partner with Engineering, Product and Sales teams to plan and develop the best solutions for customers. 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:

• Track record in fields related to machine learning focused data processing and analytics.

• Experience with one of the following libraries Pandas, NumPy, Numba, Ibis, Dask, Spark, and their GPU accelerated counterparts (cuDF, cuGraph, cuNumeric, CuPy, etc.).

• High level understanding one of modern AI fields (NLP, CV, ASR, TTS, etc.) and Excellent verbal, written communication, and technical presentation skills in English

• 5+ years work or research experience with Python/ C++ / other software development

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

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

• Capable of working in a constantly evolving technological environment without losing focus.

• Ability to multitask effectively in a fast-paced environment and Driven with strong analytical and problem-solving skills.

• Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects

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

Ways to Stand Out from The Crowd:

• Experience in very large-scale dataset preparation and curation.

• Prior experience working with AI/NLP focused datasets in a wide range of formats including tabular, textual, audio and proprietary file formats (e.g. PDF)

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