Solutions Architect - AI/ML

Full-time
USA
$147k-$205k per year
Posted 1 year ago
Go ad-free with Premium ×
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

We are looking for people who have a strong background in data science and cloud architecture to join our Professional Services team to help create exciting new offerings and capabilities for our customers! This team will be working with customers using Snowflake to expand their use of the Snowflake Data Cloud to bring data science pipelines from ideation to deployment, and beyond using Snowflake's features and its extensive partner ecosystem. The role will be more strategic, advising our clients on best practices and advice to implement Data Science workloads on Snowflake.  You will be designing solutions based on requirements and coordinating with customer teams, and where needed Systems Integrators, while maintaining oversight and direction to ensure successful outcomes

AS A SOLUTIONS ARCHITECT - AI/ML AT SNOWFLAKE, YOU WILL :

  • 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.

OUR IDEAL SOLUTION ARCHITECT - AI/ML WILL HAVE : 

  • 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.

BONUS POINTS FOR HAVING : 

  • 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.

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

We accept applications for this role on an ongoing basis.

Go ad-free with Premium ×
About the Job
Full-time
USA
$147k-$205k per year
Posted 1 year ago
Check if your resume is a good fit
25/100
Get Full Report
+ 1,284 new jobs added today
30,000+
Remote Jobs

Don't miss out — new listings every hour

Join Premium

Solutions Architect - AI/ML

The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

We are looking for people who have a strong background in data science and cloud architecture to join our Professional Services team to help create exciting new offerings and capabilities for our customers! This team will be working with customers using Snowflake to expand their use of the Snowflake Data Cloud to bring data science pipelines from ideation to deployment, and beyond using Snowflake's features and its extensive partner ecosystem. The role will be more strategic, advising our clients on best practices and advice to implement Data Science workloads on Snowflake.  You will be designing solutions based on requirements and coordinating with customer teams, and where needed Systems Integrators, while maintaining oversight and direction to ensure successful outcomes

AS A SOLUTIONS ARCHITECT - AI/ML AT SNOWFLAKE, YOU WILL :

  • 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.

OUR IDEAL SOLUTION ARCHITECT - AI/ML WILL HAVE : 

  • 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.

BONUS POINTS FOR HAVING : 

  • 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.

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

We accept applications for this role on an ongoing basis.