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Machine Learning Associate - Cloud AI & Predictive Services — Google
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Machine Learning · Verified Opening #54

Machine Learning Associate - Cloud AI & Predictive Services

business Google location_on Austin, TX (Hybrid) apartment Hybrid Full Time

Compensation

$95K – 120K/yr

bolt Apply for this role
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Published Date

1 week ago

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Work Arrangement

Hybrid • Austin, TX

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Open Positions

4 openings

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Experience Level

Associate / Mid

overview Role Overview

About the opportunity

Assist in building and operationalizing machine learning models on Google Cloud Vertex AI infrastructure.

Google Cloud is looking for an Associate Machine Learning Engineer to support enterprise AI solutions. You will build and deploy predictive pipelines, train models on Vertex AI, and collaborate with cloud architects to integrate AI microservices with client applications.

Key Focus Areas:
• Model training and hyperparameter tuning with Vertex AI Pipelines.
• Containerized inference serving using Docker and Cloud Run.
• Feature store management and automated continuous training (CT) workflows.
• Latency and cost optimization for real-time model endpoints.
task Core Responsibilities

What you will do

  • check_circle Train, tune, and evaluate machine learning models using TensorFlow, scikit-learn, and Google Cloud Vertex AI.
  • check_circle Build automated feature engineering pipelines and model serving endpoints.
  • check_circle Monitor model performance, inference latency, and data drift in production.
  • check_circle Create technical demos and code samples for enterprise ML developers.
verified_user Candidate Profile

What we are looking for

  • arrow_circle_right Strong foundation in Python, SQL, and core machine-learning algorithms (trees, clustering, neural nets).
  • arrow_circle_right Familiarity with Google Cloud Platform, Vertex AI, or equivalent cloud ML suites.
  • arrow_circle_right Experience writing unit tests and packaging ML code into containerized microservices (Docker).
  • arrow_circle_right Effective cross-functional collaboration and presentation skills.
code_blocks Technologies & Competencies

Skills & Tech Stack

Python Vertex AI TensorFlow scikit-learn Docker Google Cloud
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Why candidate applications stand out

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Verified Technical Credentials

Applications include direct proof-of-work repositories and instructor verification endorsements.

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Fast-Track Hiring Visibility

Direct internal referral channels through enterprise partners bypass automated resume discard filters.

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