Job Description

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.
  • Collaborate with data scientists, data engineers, and MLOps teams to enable reproducible and reliable ML workflows.
  • Monitor model performance and set up alerting, retraining triggers...

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