Tiger Analytics

Machine Learning Engineer

Actively hiring
  • LocationUSA (Remote)
  • Work modeRemote
  • TypeFull Time
  • Salary$117K/yr - $134K/yr
  • Openings2
Machine Learning Data Science

About the opportunity

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity.

What you will do

  • 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.

Skills and experience required

  • Strong proficiency in GCP services, including data engineering and machine learning tools.
  • Work remotely while contributing to cutting-edge projects.
  • Collaborate with a dynamic team passionate about AI/ML innovation.

Direct referral network

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 résumé discard filters.

A coordinator on your side

A named placement coordinator preps you for each round and follows up with the hiring partner.

Academy-backed profile

Your academy certificate, capstone projects and mock-interview record travel with the application.

Apply for this role

Apply: Machine Learning Engineer

The placement team reviews every application and forwards shortlisted profiles to the hiring partner with your portfolio evidence attached.

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