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# Senior ML Engineer in Chicago

- **Company:** Energy Jobline
- **Location:** Chicago, IL, United States (Remote available)
- **Experience:** Expert
- **Salary:** $180,000.0 - $240,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, Performance Tuning, Large Language Models, Generative AI, Low Latency, Machine Learning Operations, Natural Language Understanding
- **Published:** August 9, 2026
- **Apply:** https://www.energyjobline.com/job/senior-ml-engineer-chicago-31413955

## About the Role

We are looking for a Senior Machine Learning Engineer with 5+ years of experience to join our small but mighty ML team building production-grade AI voice agents used by enterprise customers like AAA and Fanatics. You're an applied AI engineer who thrives in startup environments, writes clean Python, and can ship LLM-powered systems that handle real, high-stakes conversations at scale - not just run experiments., Requirements:5 - 10 years of experience in applied ML engineering, building production systems in Python with LLMs or NLP (Mandatory)Experience building production systems in Python (Mandatory)Familiarity with low-latency production ML systems (Mandatory)Experience working at a high-growth startup (Mandatory)Background in NLU, NLP, or conversational AI (Nice-to-have)BS/MS/PhD in CS, ML, Mathematics, or closely related field with ML coursework (Mandatory)Why you should join

## Description

* Leading the exploration and application of Large Models and Generative AI, venturing into new areas within these fields
 * Translating the latest research into high-performing systems and models that can be practically applied to enhance user experiences
 * Help set the team's strategic direction, cultivating an environment that encourages innovation and professional growth
 * Actively engaging in all aspects of development, from ideation and experimentation to implementation and deployment
 * Collaborating with various teams and product managers to develop and implement ML based solutions, ensuring performance optimization and alignment with broader business goals


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