Machine Learning Engineer (with Vertex AI Experience)

Canadaremotemid

Posted 11mo ago · via Workable

About this role

Tiger Analytics is looking for a skilled and innovative Machine Learning Engineer with hands-on experience in Google Cloud Platform (GCP) and Vertex AI to design, build, and deploy scalable ML solutions. You will play a key role in operationalizing machine learning models and driving the end-to-end ML lifecycle, from data ingestion to model serving and monitoring. Key Responsibilities: Develop, train, and optimize ML models using Vertex AI , including Vertex Pipelines, AutoML, and custom model training. Design and build scalable ML pipelines for feature engineering, training, evaluation, and deployment. Deploy models to production using Vertex AI endpoints and integrate with downstream applications or APIs.…

Read the full description on Tiger Analytics's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, flask, fastapi, restful, bigquery…

2

Level fit

This role is mid-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is remote-eligible. We factor in your stated location and time-zone overlap.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonflaskfastapirestfulbigquerygcpgoogle cloudiampysparkpandasnumpyscikit-learnpytorchtensorflowlangchainvertex aiteams

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