Senior ML Engineer – Enterprise AI & LLM Systems

Factualiq; Mission (KS); On-site; USD 110,000 - 130,000; Full time

Job summary

A technology company specializing in AI solutions is seeking a Machine Learning Engineer to create and deploy scalable ML tools for enterprise decision-making. This role involves owning the ML lifecycle, from model development to deployment, and requires expertise in Python and cloud platforms like AWS or GCP. The ideal candidate has significant experience with LLM systems and enjoys collaborating with engineering teams to drive innovation and efficiency in AI applications. Opportunity for career growth to a Senior Machine Learning Engineer position.

Qualifications

• 5+ years of experience in deploying ML models in production environments.
• Hands-on experience with LLM or GenAI systems.
• Ability to build and deploy scalable model APIs and ML infrastructure.

Responsibilities

• Design and deploy ML/AI tools and services for enterprise decision-making.
• Own full ML lifecycle including feature engineering and model development.
• Collaborate with cross-functional teams for seamless ML service integration.

Skills

Expert-level Python programming

Knowledge of ML frameworks

Production experience with cloud ML platforms

Experience with modern LLM systems

Proficiency with SQL

Education

Bachelor’s or Master’s degree in Computer Science or Data Science

Tools

PyTorch

TensorFlow

Docker

Git

MLflow

Job description

A technology company specializing in AI solutions is seeking a Machine Learning Engineer to create and deploy scalable ML tools for enterprise decision-making. This role involves owning the ML lifecycle, from model development to deployment, and requires expertise in Python and cloud platforms like AWS or GCP. The ideal candidate has significant experience with LLM systems and enjoys collaborating with engineering teams to drive innovation and efficiency in AI applications. Opportunity for career growth to a Senior Machine Learning Engineer position.