Data Science Developer
1 week ago
Key Responsibilities:
- Build and automate end-to-end machine learning pipelines from data ingestion to model deployment.
- Develop and manage infrastructure for scalable machine learning solutions using GCP services such as AI Platform, Cloud Functions, BigQuery, and Kubernetes.
- Implement CI/CD processes for machine learning models, ensuring reliable and scalable deployment practices.
Requirements:
- Experience with Google Cloud Platform (GCP), including GKE, AI Platform, Dataflow, and BigQuery services.
- Proficiency in Python and frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Knowledge of Kubernetes and containerization (Docker).
Compensation: $145,000 - $165,000 per year.
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