Principal Machine Learning Architect
SiftSalary not specified
- Full Time
- Senior (5 to 8 years)
$191,000 – $273,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Cloud Computing, Artificial Intelligence, Data & AnalyticsIndustries
Requirements
Candidates should possess 8+ years of experience building and deploying machine learning and generative AI solutions in the cloud, along with familiarity with generative AI techniques such as RAG, few-shot learning, prompt engineering, or fine-tuning. Strong knowledge of Python and common ML packages like LangChain, pandas, sklearn, and PyTorch is required, as well as experience with data engineering tools like dbt, Airflow, and Spark. A Bachelor’s degree in computer science, engineering, mathematics, or a related field is necessary, with a Master’s degree preferred.
Responsibilities
The Principal AI/ML Architect will serve as the technical expert for Snowflake’s AI and ML features, partnering with Snowflake account teams and customer champions to design and execute POCs, drive technical wins, and create customer presentations and demonstrations. They will collaborate with product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback, while also publishing content to scale beyond their individual efforts. Additionally, this role involves influencing and maintaining Sales Engineering AI and ML selling assets, and providing hands-on expertise and support to technical decision-makers and data scientists.
Skills
Python
LangChain
pandas
sklearn
PyTorch
dbt
Airflow
Spark
Generative AI
Prompt Engineering
Machine Learning
Data Engineering
Presentation Skills
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