Published Date
1 week ago
Work Arrangement
Hybrid • Austin, TX
Open Positions
4 openings
Experience Level
Associate / Mid
About the opportunity
Assist in building and operationalizing machine learning models on Google Cloud Vertex AI infrastructure.
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.
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.
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.
Skills & Tech Stack
Why candidate applications stand out
Verified Technical Credentials
Applications include direct proof-of-work repositories and instructor verification endorsements.
Fast-Track Hiring Visibility
Direct internal referral channels through enterprise partners bypass automated resume discard filters.