Snowflake AIML Sr Solutions Architect with Cortex
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Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
AI/ML ARCHITECT
- 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 and deploy 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 Snowflakes products and marketing.
- Replatform customer chat bot to Snowflake Cortex Analyst add Cortex Search support for unstructured data types Discover and integrate existing Churn Prediction model into new chat bot.
REQUIREMENTS
- University degree in data science computer science engineering mathematics or related fields or equivalent experience.
- 12-14 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.
Regards
Mohammed ilyas
PH - or text - or you can share the updated resume at com
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Remote Work :
No
Employment Type :
Contract
Key Skills
- Organizational Management
- Presentation Skills
- Agile
- SAFe
- AWS
- Solution Architecture
- Conflict Management
- Data Management
- Scrum
- Team Management
- Pre-sales
- Management Consulting
About Company
20 employees
We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring par ... View more
