Hybrid in New York, New York
•
Today
Key Responsibilities: Design and implement scalable MLOps-driven data pipelines Build end-to-end Machine Learning workflows Develop AI-powered products using LLMs & Neural Networks Work on Agentic AI & Generative AI solutions Deploy ML models using Vertex AI Pipelines, Kubeflow, or similar tools Implement RAG (Retrieval-Augmented Generation) and fine-tuning techniques Required Skills & Tech Stack: Expert-level Python FastAPI / Flask, SQL Data pipeline tools like Airflow, AWS Glue Cloud: Google
Easy Apply
Contract, Third Party
$50 - $65
















