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Описание вакансии
Текст:
TL;DR
AI/ML Solutions Architect (Snowflake): Designing and implementing AI/ML pipelines within the Snowflake Data Cloud with an accent on production-ready workloads and technical leadership. Focus on architecting Snowflake-centric solutions, building POCs using Cortex AI, and advising enterprise clients on best practices for generative AI and MLOps.
Company
Snowflake is a leading data cloud company powering the era of the agentic enterprise through innovative AI and data solutions.
What you will do
- Design and architect Snowflake-centric AI/ML solutions for enterprise customers.
- Guide clients through the full lifecycle of AI/ML pipelines from ideation to production.
- Build POCs using SQL, Python, and Cortex AI to demonstrate implementation techniques.
- Provide technical leadership and best practices for scaling production-ready workloads.
- Collaborate with internal Product, Engineering, and Marketing teams to improve product capabilities.
Requirements
- Must be based in the United States.
- Minimum 5 years of experience in pre-sales or post-sales technical roles.
- Strong understanding of generative AI lifecycles, MLOps, and ML lifecycles.
- Hands-on scripting experience with SQL and Python, Java, or Scala.
- Experience with at least one public cloud platform (AWS, Azure, or GCP).
- Experience with AI/ML platforms such as Sagemaker, Databricks, or Vertex AI.
Nice to have
- Experience with Databricks or Apache Spark.
- Proven success in enterprise software environments.
- Vertical expertise in industries such as FSI, Retail, or Manufacturing.
Culture & Benefits
- Opportunity to work at the forefront of AI and data cloud innovation.
- Collaborative environment focused on experimentation and rapid testing.
- Commitment to high-trust collaboration and solving complex technical problems.
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