AI/ML Architect
BambooHRFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The salary range is $155.6K - $216.6K.
Yes, the position is remote.
Required skills include a minimum of 5 years in an ML role building and deploying production models, MLOps experience on platforms like Databricks or SageMaker, hands-on Python scripting with libraries such as Pandas, HuggingFace, XGBoost, PyTorch, TensorFlow, or SciKit-Learn, and AI/ML engineering skills like data cleansing, feature engineering, model optimization, and MLOps.
The role is based in the Sales Engineering organization within the Solution Innovation team, involving close collaboration with Data Scientists, Machine Learning Engineers, AI Engineers, and customer teams.
A strong candidate has 5+ years of ML experience deploying production models, MLOps expertise, Python proficiency with key ML libraries, AI/ML engineering skills, strong presentation abilities to technical and executive audiences, and a university degree in data science or related fields; bonus for customer-facing experience and knowledge of Generative AI, LLMs, and vector databases.
Data management and analytics platform
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.