Machine Learning Engineer / Agentic Voice / Hybrid in Chicago

A Series C startup focused on AI-powered customer solutions is looking for a full-time Machine Learning Engineer to join their growing team. They are building an agentic voice platform that would enable patients to have real‑time conversations with AI for healthcare in which the Machine Learning Engineer will be creating optimized and domain‑specific conversational AI by fine‑tuning LLM’s using LoRA, QLoRA and DPO.

This role requires extensive experience with fine tuning LLM’s and pushing LLMs to be deployed at a large scale. This opportunity is perfect for someone that is passionate in technology with impact, wanting to push to limits of AI, and joining a curious and fast‑paced team.

Required Skills & Experience

• 4 years of developing Machine Learning systems from research to production
• 2 years in conversational AI
• Experience with fine‑tuning and compression
• Experience with Python, Pytorc, LoRA, QLoRA, Langchain, LangGraph, Kafka, Redis, Postgres, Kubernetes, MLflow / SageMaker)

Desired Skills & Experience

The Offer

Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.

#J-18808-Ljbffr