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Build and deploy ML models to detect and prevent real-time debit transaction fraud using Python, Spark, and gradient boosting, while collaborating with engineers and product teams to protect customers.
Build and maintain scalable data pipelines and transformations using Python, SQL, dbt, and Snowflake to power BI, analytics, and AI initiatives in a modern DataOps environment.
Data Scientist – Snowflake + Agentic AI / Cortex AI Primary Skills We are looking for an experienced Data Scientist with strong expertise in Snowflake and hands-on exposure to Agentic AI / Snowflake Cortex AI to join…
Build and ship ML systems that autonomously optimize ad spend for retail-media advertisers using Python, GCP, and reinforcement learning alongside emerging LLM-based planning layers.
Leads a team managing enterprise database and cloud data platforms, ensuring reliability, security, and performance across SQL Server, Oracle, Snowflake, and Azure services.
Lead Snowflake’s AI-focused security incident response, designing detection and remediation playbooks for LLM threats like prompt injection and agent hijacking across Cortex AI and Snowflake Intelligence.
Lead enterprise AI programs for Fortune 500 customers, designing and deploying agentic workflows and RAG systems while mentoring a small team of Applied AI Engineers.
Build and deploy enterprise-grade AI agents and RAG systems for Fortune 500 customers using Snowflake’s Cortex, Snowpark, and native LLM capabilities, owning the full lifecycle from prototype to production.
Build and maintain scalable data pipelines and lineage for LLM platforms, integrating Snowflake/Snowpark and AWS services to support large-scale model training and evaluation.
Builds intelligent data applications to diagnose customer issues and reduce friction in Snowflake’s platform using Java, Python, and Kubernetes.
Build and maintain cloud-based data pipelines and warehouses using Python, SQL, and tools like GCP, Azure, Snowflake, and dbt to support BI and AI systems.
Build and optimize Snowflake-to-GCP data pipelines using Python, Snowpark, and cloud-native architectures for high-performance data governance and observability.
Senior Data Engineer builds and maintains end-to-end Snowflake-to-GCP pipelines, using Snowpark, UDFs, and IAM security to transform and govern data with high observability.
Senior Data Engineer builds and optimizes Snowflake-to-GCP pipelines using Snowpark, Python UDFs, and Streams for multi-cloud data processing and governance.
Design and deploy Snowflake/Databricks data architectures, model data, build pipelines with PySpark/SQL/dbt, and optimize query performance and costs.
Build and deploy enterprise-grade AI agents and RAG systems for Fortune 500 customers using Snowpark, Cortex, and native LLM capabilities, owning the full lifecycle from prototype to production.
Lead AI engagements for Fortune 500 customers, designing and deploying agentic workflows and RAG systems while mentoring a small team of engineers to productionize scalable, high-quality AI solutions.
Builds and maintains Snowflake-based data pipelines and models that feed analytics and AI features, ensuring reliable, high-quality data for the business.
Lead AI-specific security incident response at Snowflake, designing detection and remediation playbooks for LLM threats like prompt injection and agent hijacking across Cortex AI and agentic systems.
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