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Snowflake AIML Sr Solutions Architect
Snowflake AIML Sr Solutions ArchitectConnvertex Technologies Inc. • New York City, New York, USA
Snowflake AIML Sr Solutions Architect

Snowflake AIML Sr Solutions Architect

Connvertex Technologies Inc. • New York City, New York, USA
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  • serp_jobs.job_card.full_time
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JOB 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 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.

    • 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.

    • Key Skills

    Organizational Management,Presentation Skills,Agile,SAFe,AWS,Solution Architecture,Conflict Management,Data Management,Scrum,Team Management,Pre-sales,Management Consulting

    Employment Type : Full Time

    Experience : years

    Vacancy : 1

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