Tiger Analytics

Machine Learning Engineer

Tiger Analytics

full-time

Posted on:

Origin:  • 🇺🇸 United States • Illinois

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Job Level

Mid-LevelSenior

Tech Stack

CloudGoogle Cloud PlatformPython

About the role

  • Collaborate with cross-functional teams to design and deploy ML models.
  • Develop reusable, scalable code for AI/ML applications.
  • Leverage GCP services to build end-to-end machine learning pipelines.
  • Optimize models for performance and scalability using Vertex AI.
  • Build and deploy scalable AI solutions and productionize ML models.
  • Develop APIs and implement CI/CD for ML deployments.

Requirements

  • Strong proficiency in Google Cloud Platform (GCP) services, including data engineering and machine learning tools.
  • Hands-on experience with model training, deployment, and optimization using Google Vertex AI.
  • Proven ability to design, build, and productionize machine learning models.
  • Skilled in developing robust APIs for seamless integrations.
  • Experience in Python-based applications and implementing CI/CD pipelines.
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