Snowflake · 1 day ago
Solutions Architect, AI/ML
Remote, USA
Full-time
Remote
Senior Level
6+ years exp
Maximize your interview chancesAnalyticsArtificial Intelligence (AI)
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Responsibilities
Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload.
Provide customers with best practices and advise as it relates to Data Science workloads on Snowflake
Build, deploy and ML pipelines using Snowflake features and/or Snowflake ecosystem partner tools based on customer requirements.
Work hands-on where needed using SQL, Python, Java and/or Scala to build POCs that demonstrate implementation techniques and best practices on Snowflake technology within the Data Science workload.
Follow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own
Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space, and how to position Snowflake in relation to them
Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments
Provide guidance on how to resolve customer-specific technical challenges.
Support other members of the Professional Services team develop their expertise.
Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.
Qualification
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Required
University degree in data science, computer science, engineering, mathematics or related fields, or equivalent experience.
Minimum 6 years experience working with customers in a pre-sales or post-sales technical role.
Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
Thorough understanding of the complete Data Science life-cycle including feature engineering, model development, model deployment and model management.
Strong understanding of MLOps, coupled with technologies and methodologies for deploying and monitoring models.
Experience and understanding of at least one public cloud platform (AWS, Azure or GCP).
Experience with at least one Data Science tool such as AWS Sagemaker, AzureML, Dataiku, Datarobot, H2O, and Jupyter Notebooks.
Hands-on scripting experience with SQL and at least one of the following; Python, Java or Scala.
Experience with libraries such as Pandas, PyTorch, TensorFlow, SciKit-Learn or similar.
Preferred
Experience with GenerativeAI, LLMs and Vector Databases.
Experience with Databricks/Apache Spark.
Experience implementing data pipelines using ETL tools.
Experience working in a Data Science role.
Proven success at enterprise software.
Vertical expertise in a core vertical such as FSI, Retail, Manufacturing etc.
Company
Snowflake
Snowflake is a cloud data platform that provides a data warehouse-as-a-service designed for the cloud.
5,001-10,000 employees
H1B Sponsorship
Snowflake has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (102)
2022 (257)
2021 (134)
2020 (129)
Funding
Current Stage
Public CompanyTotal Funding
$2.03BKey Investors
Sequoia CapitalICONIQ GrowthAltimeter Capital
2022-08-05IPO· undefined
2022-04-19Post Ipo Equity· $621.46M
2020-02-07Series G· $479M
Leadership Team
Sridhar Ramaswamy
CEO
Benoit Dageville
President of Products & Co-Founder
Recent News
Business Wire
2024-11-12
Company data provided by crunchbase
