Senior ML Engineer - Generative AI & Production Infra

Inspire11; Chicago (IL); On-site; USD 104,000 - 190,000; Full time

Job summary

Inspire11 is seeking a Machine Learning Engineer to design scalable ML infrastructure and deploy CI/CD pipelines for training and production. You will monitor models, develop Generative AI solutions using LLM-based approaches, and ensure security and compliance across projects.

Ideal candidates will preprocess data, fine-tune models, and collaborate with client stakeholders to deliver robust AI capabilities that generate measurable value.

Qualifications

• Experience designing scalable ML infra and CI/CD pipelines.
• Experience with Generative AI applications, including LLM-based solutions and RAG infrastructure.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch).
• Ability to collaborate with clients and cross-functional teams.

Responsibilities

• Design scalable ML infrastructure and implement CI/CD pipelines for model training and deployment.
• Monitor models in production.
• Develop Generative AI solutions, including LLM-based apps and RAG infrastructure.
• Ensure security and compliance.
• Preprocess and analyze datasets.
• Develop and fine-tune ML models to optimize performance.
• Collaborate with client stakeholders to define and build AI solutions.

Skills

Python

ML engineering

CI/CD

Cloud platforms

Team collaboration

Tools

TensorFlow

PyTorch

Docker

Kubernetes

AWS

Job description

Inspire11 is seeking a Machine Learning Engineer to design scalable ML infrastructure and deploy CI/CD pipelines for training and production. You will monitor models, develop Generative AI solutions using LLM-based approaches, and ensure security and compliance across projects.

Ideal candidates will preprocess data, fine-tune models, and collaborate with client stakeholders to deliver robust AI capabilities that generate measurable value.