Job Description
Job Title: ML Engineer – Google Cloud
Location: Hyderabad
Budget: Open to discuss
We are looking for an ML Engineer with expertise in building end-to-end machine learning workflows on Google Cloud. You will develop, train, and deploy ML models at scale using Vertex AI for enterprise clients.
Technical Skills Required (6-8 of the following):
- Vertex AI Workbench for experimentation and development
- Vertex AI Pipelines (Kubeflow) for MLOps automation
- Vertex AI Model Registry and model versioning
- Vertex AI Feature Store for centralized feature management
- Big Query ML for in-database model training and inference
- Vertex AI Prediction for real-time and batch serving endpoints
- Auto ML for tabular, image, text, and video models
- Tensor Flow and Py Torch training on Vertex AI Training
Experience:
- 3+ years in ML engineering with at least 1 year deploying models on Google Cloud
- Delivered 2+ production ML models with Vertex AI or Big Query ML
- Clear communication skills for client interactions and technical documentation
Location: Hyderabad
Budget: Open to discuss
We are looking for an ML Engineer with expertise in building end-to-end machine learning workflows on Google Cloud. You will develop, train, and deploy ML models at scale using Vertex AI for enterprise clients.
Technical Skills Required (6-8 of the following):
- Vertex AI Workbench for experimentation and development
- Vertex AI Pipelines (Kubeflow) for MLOps automation
- Vertex AI Model Registry and model versioning
- Vertex AI Feature Store for centralized feature management
- Big Query ML for in-database model training and inference
- Vertex AI Prediction for real-time and batch serving endpoints
- Auto ML for tabular, image, text, and video models
- Tensor Flow and Py Torch training on Vertex AI Training
Experience:
- 3+ years in ML engineering with at least 1 year deploying models on Google Cloud
- Delivered 2+ production ML models with Vertex AI or Big Query ML
- Clear communication skills for client interactions and technical documentation
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