ML Engineer, Vertex AI & GCP Expert

Tiger Analytics; United States; On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Career development opportunities

Entrepreneurial environment

Job summary

A leading data analytics company in the United States is seeking a skilled Machine Learning Engineer to design, build, and deploy scalable ML solutions. The role involves developing and optimizing models using Google Cloud Platform and Vertex AI, collaborating with data teams, and monitoring performance. Candidates should have strong Python skills and experience in ML libraries. This position offers significant career development opportunities in a fast-growing and entrepreneurial environment.

Qualifications

• Hands-on experience with Google Cloud Platform (GCP) and Vertex AI.
• Strong proficiency in Python and ML/DL libraries.
• Experience in building and deploying scalable ML solutions.

Responsibilities

• Develop and optimize ML models using Vertex AI.
• Design and implement scalable ML pipelines.
• Collaborate with teams to enable reproducible ML workflows.
• Monitor model performance and implement governance.

Skills

Machine Learning Engineering

Google Cloud Platform (GCP)

Vertex AI

Python

TensorFlow

PyTorch

RESTful API development

Tools

Vertex AI Pipelines

Cloud Build

BigQuery

Dataflow

FastAPI

Cloud Functions

GitOps

Job description

A leading data analytics company in the United States is seeking a skilled Machine Learning Engineer to design, build, and deploy scalable ML solutions. The role involves developing and optimizing models using Google Cloud Platform and Vertex AI, collaborating with data teams, and monitoring performance. Candidates should have strong Python skills and experience in ML libraries. This position offers significant career development opportunities in a fast-growing and entrepreneurial environment.