Senior ML Ops Engineer

Overview

On Site
BASED ON EXPERIENCE
Full Time

Skills

Extract
Transform
Load
Workflow
Onboarding
Testing
Data Engineering
Data Quality
Continuous Integration
Continuous Delivery
Machine Learning Operations (ML Ops)
Apache Spark
Python
Collaboration
Machine Learning (ML)
FOCUS
Professional Services
Genetics
Law
Privacy
Artificial Intelligence

Job Details

Title: Senior ML Ops Engineer
Location: Remote
Duration: Full-time
Compensation: $160,000
Work Requirements: , Holders or Authorized to Work in the U.S.

Skillset / Experience:
These engineers perform the hands-on work across data operations, model monitoring, automation, drift detection, DI 2026 initiatives, and pipeline development . They are the primary technical builders for all Planning, Discovery, and Implementation deliverables.

What These People Will Do

  • Build data pipeline monitoring & observability capabilities .
  • Develop anomaly detection workflows and automated alerting mechanisms.
  • Build and maintain ground truth labeling and validation automation .
  • Expand monitoring pipelines to all production models using consistent frameworks.
  • Automate drift detection, label validations, and quality guardrails.
  • Support DI Product 2026 by onboarding new model simulation tools, pipelines, features, and automation tasks.
  • Generate and enhance mock test data frameworks to support model feature testing.
  • Integrate solutions into existing environments and ensure operational readiness.
Target Background
  • 6-10+ years in ML Ops, ML engineering, or data engineering with ML automation exposure.
  • Experience with:
    • Model monitoring
    • Ground truth frameworks
    • Drift and data-quality validation
    • ML pipeline automation
    • Hands-on experience with Python, Spark, Airflow, CI/CD, and observability tooling.
Key Skills to Screen For
  • ML Ops engineering depth
  • Pipeline reliability skills
  • Monitoring frameworks
  • Experience supporting ML in production
  • Spark/Python hands-on ability
  • Ability to work across Data, ML, Platform teams


Our benefits package includes:
  • Comprehensive medical benefits
  • Competitive pay, 401(k)
  • Retirement plan
  • and much more!

About INSPYR Solutions

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions Privacy Policy and INSPYR Solutions AI and Automated Employment Decision Tool Policy: . By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.


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About INSPYR Solutions