ML Engineer

Exp: 4-8 yrs

Must Have Skills: MLOps Fundamentals: CI/CD/CT Pipelines of ML with Azure Demo, Snowflake, Modeling Fundamentals & Linear Regression, ML Flow

Budget 25 LPA

Location: Remote (Permanent Work from home)

PFB Details:
Mode : RemoteJob timings : General shift Total interview rounds : 2 Technical round, 1 client round

Job description:

ML engineer. Ability and experience to deploy models on Snowflake;
More experience in handling the machine learning pipelines & ML engineering e.g. managing ML pipeline ML pipeline and DevOps experienced candidate is more relevant for the client Focus on usage of MLflow to monitor performance of models Some data engineering exposure is important as this person will work as a bridge between MPG's internal Data engineering team and ML team DE skill: Experience in Snowflake data platform and infrastructure/ Snow-park should be known Data Science theoretical or DS.

Primary Skill- Modeling Fundamentals & Linear Regression, Snowflake, MLOps Fundamentals: CI/CD/CT Pipelines of ML with Azure Demo, ML Flow

Secondary Skill- Stanford NER / Core NLP

intrested share resume at talent.acquisition@iqanalytic.com