Machine Learning Enginee/ML Vertex AI Specialist (W2 Only)

Overview

On Site
Hybrid
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Able to Provide Sponsorship

Skills

Machine Learning (ML)
Vertex
Machine Learning Operations (ML Ops)

Job Details

About the Role:

We are looking for a Machine Learning Engineer with in-depth experience using Google Cloud s Vertex AI tools. You will be responsible for creating and managing scalable ML systems in a hybrid cloud environment. This position involves building smart automation pipelines, optimizing models, and collaborating with various teams to deploy production-grade AI solutions.

Responsibilities:

  • Design, develop, and deploy ML models using Vertex AI and related Google Cloud Platform components.
  • Build and automate pipelines for data ingestion, model training, validation, and real-time predictions.
  • Use tools like Vertex Pipelines, AutoML, and Feature Store for modular, maintainable solutions.
  • Work closely with data and product teams to gather requirements and deliver AI-driven features.
  • Implement MLOps workflows to enable version control, model monitoring, and CI/CD.
  • Continuously assess and improve model performance and cloud resource usage.

Required Qualifications:

  • Bachelor s or Master s degree in Computer Science, Machine Learning, or similar technical field.
  • Minimum of 3 years of hands-on experience in developing ML models and pipelines.
  • Proficient in Python and ML libraries such as scikit-learn, TensorFlow, etc.
  • Demonstrated experience working with Vertex AI, including pipeline orchestration, AutoML, and model tracking.
  • Understanding of cloud-native development and deploying models in a Google Cloud Platform environment.
  • Strong analytical and communication skills.
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