Snowflake

4 weeks ago

Senior Technical Architect, AI/ML

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Technical architect role focused on Snowflake’s AI/ML workloads, advising customers on best practices, and designing end-to-end data science solutions. You will build ML pipelines, work with customers and SI partners, and help expand Snowflake’s data science capabilities across deployments, while transferring knowledge to enable customer self-sufficiency.

Location: Pune

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key 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, 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

Key Requirements

•6+ years experience working with customers in a pre-sales or post-sales technical role
•University degree in data science, computer science, engineering, mathematics or related fields, or equivalent experience
•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
•Experience with at least one public cloud platform (AWS, Azure or GCP) and with at least one Data Science tool such as AWS Sagemaker, AzureML, Dataiku, Datarobot, H2O, and Jupyter Notebooks

Experience:6+ yearsData scienceAI/MLCloud

Education:Bachelor's

Skills:SQLPythonPandasPyTorchTensorFlowSciKit-LearnJupyter NotebooksJavaScala

Languages:English

Tech Stack:SQLPythonPandasPyTorchTensorFlowSciKit-LearnJupyter NotebooksAWSAzureGCPDataikuDatarobotSagemakerJavaScala

Company Brief

Snowflake

Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn

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Snowflake

4 weeks ago

Senior Technical Architect, AI/ML

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Pune

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key 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, 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

Key Requirements

•6+ years experience working with customers in a pre-sales or post-sales technical role
•University degree in data science, computer science, engineering, mathematics or related fields, or equivalent experience
•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
•Experience with at least one public cloud platform (AWS, Azure or GCP) and with at least one Data Science tool such as AWS Sagemaker, AzureML, Dataiku, Datarobot, H2O, and Jupyter Notebooks

Experience:6+ yearsData scienceAI/MLCloud

Education:Bachelor's

Skills:SQLPythonPandasPyTorchTensorFlowSciKit-LearnJupyter NotebooksJavaScala

Languages:English

Tech Stack:SQLPythonPandasPyTorchTensorFlowSciKit-LearnJupyter NotebooksAWSAzureGCPDataikuDatarobotSagemakerJavaScala

Company Brief

Snowflake

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn