AI/ML Architect
BambooHRSalary not specified
- Full Time
- Senior (5 to 8 years)
$155,600 – $216,600Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Cloud Computing, Artificial Intelligence, Data CloudIndustries
Requirements
Candidates should have 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud, familiarity with generative AI techniques like RAG, few-shot learning, prompt engineering, or fine-tuning, and deep knowledge of Python and common ML packages such as LangChain, pandas, sklearn, and PyTorch. A Bachelor’s degree is required, with a Master’s degree in computer science, engineering, mathematics, or a related field being preferred. Experience with the LLM ecosystem, large-scale infrastructure-as-a-service platforms, Snowflake, and large-scale database technology is beneficial.
Responsibilities
The Senior AI/ML Architect will be the technical expert in scoping and driving POCs for Snowflake’s AI and ML solutions, partnering with Snowflake account teams and customer champions to ensure successful execution and customer adoption. They will collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback, and will publish content to scale beyond their individual efforts. Additionally, they will influence and maintain Sales Engineering AI and ML selling assets, including customer presentations and demonstrations, and will provide hands-on expertise and support to technical decision makers and data scientists.
Skills
Machine Learning
Generative AI
Prompt Engineering
Fine-tuning
Python
ML Packages
LangChain
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.
Bellevue, WashingtonHeadquarters
2012Year Founded
$1,341.3MTotal Funding
IPOCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
5,001-10,000Employees