Senior ML & AI Ops Engineer - AWS Platform & Infra

National Debt Relief, LLC; United States; On-site; USD 151,000 - 173,000; Full time

Benefits offered by this job

Generous Medical, Dental, and Vision

401(k) with Company Match

Paid Holidays, Volunteer Time Off, S1c

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 seeks a Senior Engineer, ML & AI Ops to build and operate a scalable AWS platform supporting ML models, internal AI tools, and event-driven integrations. You will work closely with Data Science, Data Engineering, Analytics, Product, and other engineering teams to deliver reliable production services with strong security and observability.

The ideal candidate brings deep AWS and IaC experience, hands-on ML deployment, and a track record of building secure, observable systems

Qualifications

• 6+ years in MLOps, platform engineering, DevOps/SRE, or backend engineering with ML exposure.
• Bachelor’s degree in a relevant technical field required.
• Deep, hands-on AWS experience designing and operating production workloads across compute, messaging, and security.
• Strong experience building event-driven integrations with third-party APIs, including change data capture.
• Experience with Terraform and infrastructure-as-code across multi-environment production systems.
• Hands-on experience deploying and operating ML models, including batch and real-time serving, versioning, and monitoring.
• Experience with containers, CI/CD, and safe production deployment practices.
• Experience operating PostgreSQL for production services, including schema migrations, indexing, and correctness under concurrent writes.

Responsibilities

• Design, build, and operate the AWS infrastructure and services behind NDR’s ML models, internal AI tools, and event-driven integrations.
• Build and operate event-driven integrations and CDC pipelines between internal and third-party systems, including Salesforce and platforms such as Braze.
• Design integrations for reliability and recoverability, including idempotency, replay, schema evolution, and out-of-order events.
• Build and maintain containerized inference APIs and backend services with secure, versioned interfaces and production-grade performance.
• Manage infrastructure in Terraform across multiple AWS accounts and environments using reusable modules and CI-gated workflows.
• Build ML workflows for training, retraining, scoring, and inference, and partner with Data Science to create repeatable paths from experiment to production.
• Implement observability across ML systems, AI tools, and integration services, including logging, metrics, alerting, and model monitoring.
• Support secure operation of internal LLM and agentic systems, including Amazon Bedrock, with appropriate access controls, auditing, and data protections.
• Partner with Data Engineering on Snowflake datasets, data access, and governance supporting ML and operational workflows.
• Lead incident response, participate in on‑call, and contribute runbooks, reusable patterns, and platform engineering standards.

Skills

Python

Autonomy

Communication

Education

Bachelor's degree

Job description

National Debt Relief seeks a Senior Engineer, ML & AI Ops to build and operate a scalable AWS platform supporting ML models, internal AI tools, and event-driven integrations. You will work closely with Data Science, Data Engineering, Analytics, Product, and other engineering teams to deliver reliable production services with strong security and observability.

The ideal candidate brings deep AWS and IaC experience, hands-on ML deployment, and a track record of building secure, observable systems