
ML Engineer
2 weeks ago
Job Description
Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall.
ML Engineer (2 positions) -Remote
1.Ability and experience to deploy ML/ AI/ GenAI models on Snowflake; Strong experience on Snowflake procedures and tasks
2.Design and implement pipelines using Snowpark
3.Excellent Python skills - environment setup and dependency management, coding as per best practices - knowledge of automatic code review tools like Linting and Black
4.Experience in writing SQL code (intermediate level)
5.Experience in orchestrating machine learning pipelines using MLOPs best practices
6.Experience in DevOps with CI/CD knowledge (Git in Azure Devops)
7.Experience in model monitoring (drift detection, and performance monitoring)
8.Experience on Snowflake Cortex (good to have)
9.Fundamentals of Data engineering
10.Docker based deployment is good to have
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