Senior ML Ops Engineer - Cloud-Native Platform Lead

National Debt Relief; United States; Remote; USD 150,500 - 173,000; Full time

Benefits offered by this job

Generous Medical, Dental, and Vision Benefits

401(k) with Company Match

Paid Holidays, Volunteer Time Off, Sick Days, and Vacation

12 weeks Paid Parental Leave

Pre‑tax Transit Benefits

No‑Cost Life Insurance Benefits

Voluntary Benefits Options

ASPCA Pet Health Insurance Discount

Wellness Incentive Program

Job summary

National Debt Relief is looking for a Senior ML Ops Engineer to evolve and scale their enterprise machine learning platform. This role involves designing cloud-native architecture, improving model deployment, and maintaining ML infrastructure.

The ideal candidate will have a strong software engineering background and hands-on ML platform experience, along with expertise in AWS and Docker. This position offers competitive compensation and a robust benefits package.

Qualifications

• 6+ years of experience in ML Ops, platform engineering, DevOps, or data platform engineering.
• Strong experience deploying and operating production machine learning systems.
• Hands-on experience with cloud infrastructure, preferably AWS.

Responsibilities

• Design, deploy, and maintain scalable ML infrastructure.
• Lead the evolution of model hosting architecture from Snowflake to AWS.
• Build and maintain containerized model serving solutions.

Skills

Python engineering skills

Communication and collaboration skills

Strong SQL expertise

Experience with Docker

Knowledge of AWS

Education

Bachelor’s degree in Computer Science, Data Engineering, or related field

Tools

Docker

FastAPI

Snowflake

AWS

CI/CD tools

Job description

National Debt Relief is looking for a Senior ML Ops Engineer to evolve and scale their enterprise machine learning platform. This role involves designing cloud-native architecture, improving model deployment, and maintaining ML infrastructure.

The ideal candidate will have a strong software engineering background and hands-on ML platform experience, along with expertise in AWS and Docker. This position offers competitive compensation and a robust benefits package.