Job Title

Looking for a candidate from Data Scientist and Developer background, should have experience in Machine Learning and Snowflake.Job Description: Should have experience on the following: -Data Engineering & Snowflake Design, develop, and maintain scalable data pipelines using Snowflake Implement efficient ELT/ETL processes for structured and semi-structured data Optimize Snowflake performance (clustering, partitioning, query tuning, cost optimization) Manage data ingestion using tools like Snowpipe, Streams, and TasksCloud & ArchitectureBuild and manage data solutions on Amazon Web Services / Azure / GCPDesign modern data architectures (Data Lake, Lakehouse, Data Warehouse)Ensure scalability, reliability, and security of data platformsData Science & Machine Learning EnablementCollaborate with data scientists to support model development and deploymentBuild and maintain feature engineering pipelines for ML modelsEnable data availability for training, validation, and inference workflowsUnderstand and apply key ML concepts (supervised/unsupervised learning, model evaluation, bias/variance)Advanced Analytics & ModelingDesign and maintain data models for analytics and ML use casesWork with large-scale datasets using SQL, Python, and distributed computing frameworksSupport real-time and batch data processingData Science & Machine Learning Enablement Collaborate with data scientists to support model development and deploymentBuild and maintain feature engineering pipelines for ML modelsEnable data availability for training, validation, and inference workflowsUnderstand and apply key ML concepts (supervised/unsupervised learning, model evaluation, bias/variance)Advanced Analytics & ModelingDesign and maintain data models for analytics and ML use casesWork with large-scale datasets using SQL, Python, and distributed computing frameworksSupport real-time and batch data processing