National Debt Relief (NDR) is seeking an experienced Senior ML Ops Engineer to join our Data Engineering team. In this role, you will lead the deployment, orchestration, and observability of machine learning models across our Snowflake-based enterprise data platform. Reporting to the Director of Data Engineering, you will be responsible for delivering scalable, production-ready ML systems by building the infrastructure, pipelines, and monitoring frameworks that enable our Data Science and Applied AI teams to bring models successfully into production.

 

The ideal candidate has hands-on experience with containerization technologies such as Docker, modern orchestration tools like Dagster or Airflow, and best practices for monitoring and observability of deployed ML models. You will operate at the intersection of data engineering, machine learning, and platform operations, ensuring reliable, automated, and governed ML workflows at scale. This role requires a high degree of ownership, strong problem-solving skills, and clear communication with leadership and technical teams alike.

 

• Lead the deployment of ML models into Snowflake, including scoring pipelines, feature preparation, and integration with enterprise data flows.
• Serve as a thought leader in ML/DevOps best practices, enabling the Data Science team to innovate efficiently and effectively.
• Manage Snowflake infrastructure using Infrastructure-as-Code (Terraform or similar), while adhering to Data Engineering best practices.
• Design and manage orchestration pipelines using Dagster, Airflow, or comparable toolsto support training, automated retraining, scoring, and monitoring workflows.
• Collaborate closely with data scientists and AI engineers to operationalize ML models for both batch and real-time inference.
• Build and maintain robust datasets and feature stores in SQL/dbt within Snowflake to enable repeatable and scalable ML workflows.
• Implement observability frameworks for deployed models, including drift detection, accuracy tracking, service reliability metrics, and automated alerting.
• Develop and maintain Python-based deployment workflows, APIs, or containerized solutions when Snowflake-native capabilities need to be extended.
• Document system architectures, workflows, and configurations to support governance, reproducibility, and transparency.
• Drive consistent, visible deliverables that demonstrate progress and impact, ensuring projects remain on track.

Education/Experience:

• Bachelor’s degree in Computer Science, Data Engineering, or a related field preferred
• 6+ years of experience in DevOps or ML platform integration, with a strong focus on production ML deployments.

Required Skills/Abilities:

• Expertise in SQL and dbt for building and maintaining curated datasets and feature pipelines.
• Hands-on expertise with Snowflake, including experience managing infrastructure with IaC tools (Terraform or equivalent).
• Demonstrated experience with Dagster , Airflow, or similar orchestrators) for managing event-driven pipelines.
• Proficiency in Python for developing pipelines, APIs, and automation solutions.
• Proven track record of implementing CI/CD workflows and automated testing.
• Experience designing and deploying model observability frameworks, including drift detection and performance monitoring.
• Proactive ownership mindset with the ability to work independently and deliver results with minimal oversight.
• Clear, timely, and proactive communication, including experience collaborating with leadership stakeholders.
• Ability to manage multiple priorities and projects, ensuring progress stays visible and deliverables are met.
• Strong troubleshooting and problem-solving skills, with attention to detail when working with sensitive systems and processes.
• Strong collaboration and communication skills to partner effectively across data engineering, data science, and product teams.
• Self-starter with the ability to define and establish ML Ops architecture standards in a greenfield environment.

Preferred Skills & Experience:

• Experience in financial services or related industries.
• Expertise deploying ML models in Kubernetes or other containerized environments.
• Familiarity with event-driven architectures or real-time streaming frameworks (e.g., Kafka, Snowpipe).
• Experience with Generative AI deployment workflows, including LLMs and third-party vendor integrations.
• Knowledge of ML observability platforms (e.g., MLflow, Evidently, Arize, Monte Carlo, or similar).

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, overtime eligible if classified non-exempt.

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 to $167,000 annually.

 

 

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.

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
• Access to your earned wages at any time before payday
  

 

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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For information about our Applicant Terms, please see here

 

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