Description:
Role: AI/ML Engineer Location: Phoenix, AZ (Day 1 onsite) Long Term Job Description: Tech Stack - Python, SQL, Docker & Kubernetes, Fast API, Flask, MLOps, Machine Learning, LLM s, LangChain or similar orchestrator, Vector DB or similar, Google Cloud Platform, Google AutoML, Vertex AI & Build tools Job Duties: Design and implement scalable MLOps supportive data pipelines for data ingestion, processing, and storage. Experience deploying models with MLOps tools such as Vertex Pipelines, Kubeflow
Jun 23, 2025;
from:
dice.com