Mid-Senior ML Engineer: Production ML & LLM Optimization

ExaCare AI; United States; On-site; USD 170,000 - 720,000; Full time

Job summary

An innovative health tech company in the United States seeks a Machine Learning Engineer to manage the end-to-end ML lifecycle. The candidate should have proven experience in deploying models and a solid background in Python and deep learning frameworks. This full-time position offers competitive compensation, with a salary range potentially reaching $720,000. If you thrive in a fast-paced environment and are passionate about AI, we want to hear from you.

Qualifications

• 3+ years of experience in building and deploying machine learning models.
• Expert-level proficiency in Python programming.
• Experience with systematic hyperparameter searching.
• Direct experience with Large Language Models (LLMs).
• Exceptional skills in reproducible research.

Responsibilities

• Research and implement novel machine learning solutions.
• Build and manage efficient pipelines for rapid experimentation.
• Deploy models into production environments.
• Implement and maintain monitoring systems for model performance.

Skills

Python

Deep learning frameworks (e.g., PyTorch)

Hyperparameter optimization

Dataset creation and curation

Model optimization techniques (e.g., quantization)

Education

Bachelor's or Master's degree in Computer Science, AI, or Data Science

Tools

MLflow

Docker

Kubernetes

Job description

An innovative health tech company in the United States seeks a Machine Learning Engineer to manage the end-to-end ML lifecycle. The candidate should have proven experience in deploying models and a solid background in Python and deep learning frameworks. This full-time position offers competitive compensation, with a salary range potentially reaching $720,000. If you thrive in a fast-paced environment and are passionate about AI, we want to hear from you.