Data Scientist with AI/ML and Google Cloud Platform - 3 page resume

Data Scientist with AI/ML and Google Cloud Platform - 3 page resume

Required Skills

4+ years of experience in machine learning model development and deployment and scaling in production.

Strong skills in Python, solid understanding of ML librariesTensorFlow, PyTorch, scikit-learn, XGBoost.

Hands-on expertise in Google Cloud Platform Vertex AI , GCS , BQ

Python, TensorFlow/PyTorch, scikit-learn, Jupyter

Google Cloud Platform Vertex AI Suite (including Pipelines, Feature Store, Model Monitoring)

BigQuery, Git, Docker

Preferred Skills

Experience with MLOps tools such as Kubeflow, MLFlow, or TFX.

Prior implementation of CI/CD pipelines for ML model deployment.

Exposure to large language models (LLMs), foundation models, or generative AI use cases.

Disqualifiers

More than 3 pages in length.

Generic resumes without clearly defined accomplishments or project impact.

Missing valid LinkedIn profile.

Project Outlook

Merchandising Portfolio

Project is 2 AI initiatives

Assortment management

Space optimization

This role will help build AI capabilities

Will also monitor other models

On site 5 days a week. This could be amended if the search does not yield strong candidates but right now no remote flexibility

Probably will end up being a contract to hire but right now it s a long term contract

Requirement

Understanding business functions

Coming up with AI solutions

Cloud (they use Google Cloud Platform but experience with any of the big 3 are fine)

Python (Must)

Hands on implementation of AI models (not just conceptualizing, proof of concepts, ect.) (Must)

Be able to develop capabilities all the way to production

Be able to monitor model performance

Develop model visibility frameworks

4+ years of experience

Interview process

3 rounds All elimination rounds

First 30 minute conversation with lead or other Sr. scientist

Second 1 hour hands on coding interview

Third 1 hour ML/AI deep dive interview