What are the responsibilities and job description for the AI/ML Architect (Google Cloud Platform) position at AppMetric Inc.?
Job Details
JOB Title: AI/ML Architect (Google Cloud Platform)
Location: CA (Locals/Hybrid)
Duration: 2 Years
Key Responsibilities:
Develop and manage MLOps pipelines on Google Cloud to support large-scale production applications. Deploy, monitor, and optimize machine learning models using Google Vertex AI, Dialogflow, and Google Cloud Run.
- Implement infrastructure as code (IaC) using Terraform for scalable and automated deployments.
- Ensure CI/CD integration, model versioning, and efficient model retraining strategies.
- Collaborate with data scientists, software engineers, and DevOps teams to streamline ML workflows.
- Monitor model performance, troubleshoot issues, and ensure production stability.
Required Skills & Experience:
- 8-15 years of overall experience in MLOps, Machine Learning, or DevOps. Strong hands-on experience with Google Cloud (Google Cloud Platform), Google Vertex AI, and Dialogflow.
- Proficiency in Google Cloud Run for deploying ML models as scalable services.
- Experience with Terraform for managing cloud infrastructure.
- Expertise in CI/CD pipelines, model monitoring, and cloud automation.
- Strong programming skills in Python and familiarity with ML frameworks.
- Ability to work hands-on while collaborating with cross-functional teams.
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