Solutions Architect, Financial Services
NVIDIASalary not specified
- Full Time
- Senior (5 to 8 years)
$136,000 – $201,200Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data Cloud, Artificial Intelligence, AI & Machine Learning, Cloud ComputingIndustries
Requirements
Candidates should possess a minimum of 5 years of experience in an AI and ML role, where they have built and deployed at least one machine learning model into production, along with 5 years of experience in a customer-facing technical delivery role. They should have a strong understanding of the entire model lifecycle, including model development, training, and MLOps/observability, and demonstrate expertise in GenerativeAI, LLMs, and Vector Databases. Strong scripting skills in Python, utilizing libraries such as Pandas, HuggingFace, XGBoost, PyTorch, TensorFlow, and SciKit-Learn are also required.
Responsibilities
As a Solution Innovation Architect - AI/ML, the individual will design and architect AI/ML solutions utilizing the Snowflake platform, supporting customer workshops and design thinking sessions to define advanced use-cases. They will collaborate with Data Scientists, Machine Learning Engineers, and AI Engineers to understand customer requirements, design, train, and build AI/ML models for customer solutions, and provide technical expertise and enablement on Snowflake's AI/ML suite of features. Furthermore, they will stay current with advancements in AI/ML, provide thought leadership through external content, and actively participate in the optimization of model performance and accuracy, as well as the management of the model lifecycle.
Skills
AI
ML
Machine Learning
Model Deployment
MLOps
GenerativeAI
LLMs
Vector Databases
Python
Pandas
HuggingFace
XGBoost
PyTorch
TensorFlow
SciKit-Learn
Solution Design
Customer Engagement
Presentation
Snowflake
Data management and analytics platform
About Snowflake
Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.
Key Metrics
Bellevue, WashingtonHeadquarters
2012Year Founded
$1,341.3MTotal Funding
IPOCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
5,001-10,000Employees