Solutions Architect, AI/ML

October 14

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $128k - $178.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

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Snowflake

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Cloud Computing • Data Analytics • SaaS

Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.

5001 - 10000 employees

Founded 2012

☁️ SaaS

📋 Description

• 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. • 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options