Senior ML Engineer — End-to-End MLOps & Production AI

InterWell Health; United States; Remote; USD 100,000 - 130,000; Full time

Benefits offered by this job

Diversity and inclusion initiatives

Collaborative work environment

Opportunity to impact lives

Job summary

A healthcare management company seeks a Machine Learning Engineer to develop and deliver end-to-end ML solutions. The ideal candidate will have strong skills in Python, experience in MLOps, and a background in computer science. This role involves collaborating with various partners to enhance ML products and ensure robust model performance. Join us to help improve patient outcomes and contribute to innovative projects in a supportive environment, valuing diversity and inclusion.

Qualifications

• 3+ years of end-to-end ML development in production.
• 3+ years of MLOps experience building production pipelines.
• Experience with distributed compute and cloud ML environments.

Responsibilities

• Develop and deliver end-to-end machine learning solutions.
• Collaborate with cross-functional partners.
• Monitor model performance in production.

Skills

Python for production ML

MLOps experience

Debugging and optimization skills

Communication

Education

Bachelor's degree in Computer Science

Tools

Databricks

SQL

Spark

Job description

A healthcare management company seeks a Machine Learning Engineer to develop and deliver end-to-end ML solutions. The ideal candidate will have strong skills in Python, experience in MLOps, and a background in computer science. This role involves collaborating with various partners to enhance ML products and ensure robust model performance. Join us to help improve patient outcomes and contribute to innovative projects in a supportive environment, valuing diversity and inclusion.