Senior Machine Learning Ops Engineer

National Debt Relief, LLC; United States; On-site; USD 150,500 - 173,000; Full time

Benefits offered by this job

401(k) with Company Match

Paid Holidays, Sick Days, Vacation

Job summary

National Debt Relief is seeking a Senior MLOps Engineer to evolve and scale its enterprise ML platform. You will own infrastructure, orchestration, deployment, observability, and reliability of data and ML pipelines across the company.

You will partner with Data Science, Data Engineering, and Applied AI to productionize workloads, implement CI/CD and governance, and drive scalable ML model serving across AWS, Snowflake, and other platforms.

Qualifications

• Bachelor's degree or higher in a related field.
• 6+ years in ML Ops, platform engineering, DevOps, or data platform engineering.
• 3+ years of hands-on AWS experience.
• Experience with Infrastructure-as-Code tools (Terraform, OpenTofu, CloudFormation).
• Strong SQL and data warehousing knowledge (Databricks, Snowflake, BigQuery).
• Experience with CI/CD workflows and best practices.
• Experience with orchestration frameworks (Dagster, Airflow, Prefect).
• Experience with pytest and Unix-based environments.

Responsibilities

• Design, deploy, and maintain scalable ML infrastructure for training, batch, and real-time inference.
• Provision and deploy infra and services using IaC across AWS and related platforms.
• Build and maintain containerized model serving with Docker and modern deployment patterns.
• Document architecture, deployment standards, and operational processes.
• Collaborate with Data Science/Engineering to productionize models and improve velocity.
• Implement CI/CD, IaC, testing, and deployment automation across ML systems.
• Establish observability and monitoring for ML systems, including drift detection and data quality checks.
• Optimize platform reliability, governance, and efficiency across ML workflows.

Skills

Python

API development

Docker

Kubernetes

CI/CD

Dagster/Airflow/Prefect

pytest

Unix Bash

Education

Bachelor's degree in CS, Data Engineering, or related field

Tools

Terraform

OpenTofu

CloudFormation

Databricks

Snowflake

BigQuery

FastAPI

Flask

Django

ECS

EKS

Job description

Overview

National Debt Relief (NDR) is seeking a Senior MLOps Engineer to help evolve and scale our enterprise machine learning platform. This role sits within the Data Platform organization on the newly formed MLOps team and partners closely with Data Science, Data Engineering, and Applied AI teams to productionize data & machine learning workloads across the company.

National Debt Relief (NDR) is seeking a Senior MLOps Engineer to help evolve and scale our enterprise machine learning platform. This role sits within the Data Platform organization on the newly formed MLOps team and partners closely with Data Science, Data Engineering, and Applied AI teams to productionize data & machine learning workloads across the company. You will help own the infrastructure, orchestration, deployment, observability, and reliability of business critical data & ML pipelines. This includes enabling scalable model training and inference workflows, improving developer experience for Data Science teams, and establishing engineering standards for testing, CI/CD, governance, and monitoring.

Responsibilities

• Design, deploy, and maintain scalable ML infrastructure supporting model training, batch inference, and real-time inference workloads.
• Own the provisioning and deployment of infrastructure and services across AWS, Snowflake, and other related platforms using Infrastructure-as-Code.
• Build and maintain containerized model serving solutions using Docker, FastAPI, and modern deployment patterns.
• Document architecture, deployment standards, and operational processes to support maintainability and reproducibility.
• Partner closely with Data Science and Data Engineering teams to productionize ML models and improve deployment velocity.
• Implement CI/CD, Infrastructure-as-Code, testing, and deployment automation best practices across ML systems and platform infrastructure.
• Establish observability and monitoring frameworks for deployed ML systems, including model performance monitoring, drift detection, data quality validation, and automated alerting.
• Optimize platform reliability, scalability, governance, and operational efficiency across ML workflows and supporting infrastructure.

Qualifications

Education/Experience:

• Bachelor's degree in Computer Science, Data Engineering, or a related field (advanced degree preferred).
• 6 years of experience in ML Ops, platform engineering, DevOps, or data platform engineering.
• 3+ years of hands-on experience with AWS cloud infrastructure.
• Experience managing Infrastructure-as-Code projects using tooling such as Terraform, OpenTofu, or CloudFormation.
• Strong SQL expertise and hands‑on experience with a modern data warehouse platform like Databricks, Snowflake, or BigQuery.
• Experience implementing CI/CD workflows and modern software engineering best practices.
• Experience with orchestration frameworks such as Dagster, Airflow, or Prefect.
• Experience with pytest testing frameworks and patterns, including unit, integration, and end‑to‑end testing.
• Experience with Bash and Unix-based environments.

Skills/Abilities

• Required Skills:
  • Strong Python engineering skills, including API development and automation tooling.
  • Strong experience deploying and operating production machine learning systems.
  • Strong experience with Docker and containerized application deployment.
  • Demonstrated experience building backend services using frameworks such as FastAPI, Flask, or Django.
  • Strong software engineering fundamentals, including design patterns and maintainable architecture practices.
  • Experience deploying ML systems on Kubernetes, ECS, EKS, or other container orchestration platforms.
  • Strong communication and collaboration skills across Data Science, Data Engineering, and Product teams.
  • Ability to operate independently and help define ML platform standards and architecture direction.
• Preferred Skills:
  • Experience with ML observability and experiment tracking tools such as MLflow, Arize, Evidently, WhyLabs, or Monte Carlo.
  • Experience designing feature stores or reusable ML data products.
  • Experience supporting both batch and low‑latency inference workloads.
  • Experience in financial services, fintech, or other regulated industries.
  • Experience supporting Generative AI or LLM deployment workflows.

National Debt Relief Role Qualifications

• Computer competency and ability to work with a computer.
• Prioritize multiple tasks and projects simultaneously.
• Exceptional written and verbal communication skills.
• Punctuality expected, ready to report to work on a consistent basis.
• Attain and maintain high performance expectations on a monthly basis.
• Work in a fast‑paced, high‑volume setting.
• Use and navigate multiple computer systems with exceptional multi‑tasking skills.
• Remain calm and professional during difficult discussions.
• Take constructive feedback.
• Available for full-time position.

Compensation Information

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for each position across the US. Within the range, individual pay is determined by work location, job‑related skills, experience, and relevant education or training. This good faith pay range is provided in compliance with NYC law and the laws of other jurisdictions that may require a salary range in job postings. The salary for this position is $150,500.00 to $173,000.00.

About National Debt Relief

National Debt Relief was founded in 2009 with the goal of helping an expanding number of consumers deal with overwhelming debt. We are one of the most‑trusted and best‑rated consumer debt relief providers in the United States. As a leading debt settlement organization, we have helped over 450,000 people settle over $10 billion of debt, while empowering them to lead a healthier financial lifestyle and feel free to live their best life. At National Debt Relief, we treat our clients like real people. Our purpose is to elevate, empower, and transform their lives.

Rated A+ by the Better Business Bureau, our goal is to help individuals and families get out of debt with the least possible cost through conducting financial consultations, educating the consumer and recommending the appropriate solution. We become our clients' number one advocate to help them reestablish financial stability as quickly as possible.

Want to learn more about who we are? Connect with us on social!

Benefits

National Debt Relief is a team‑oriented environment full of rewards and growth opportunities for our employees. We are dedicated to our employee's success and growth within the company, through our employee mentorship and leadership programs.

Our extensive benefits package includes:

• 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

National Debt Relief is a certified Great Place to Work®!

National Debt Relief is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other status protected by law.

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