Snowflake AI/ML Sr Solutions Architect with Cortex

AI overview

Drive innovation by leveraging Snowflake for AI/ML workloads, collaborating on data science best practices while building machine learning pipelines and enhancing customer solutions.

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 Snowflake’s 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 - 229-264-4024 or text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis. com

All your information will be kept confidential according to EEO guidelines.

VTekis Consulting LLC provides complete solutions for Staff Agumentation, Recruitment Process Outsourcing, Contract Hiring, Direct Hire and Outsourced Solutions. Our goal is to deliver quality professional services to our clients not just to find someone to do a job, we match the right professional for your staffing needs and earning confidence through the proper assignment of people. This alignment of people and companies allows us to create opportunity. Most importantly, We don’t consider the process complete until we find the perfect fit. 

View all jobs
Get hired quicker

Be the first to apply. Receive an email whenever similar jobs are posted.

Ace your job interview

Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

Solutions Architect Q&A's
Report this job
Apply for this job