Lead ML Platform Engineer

Revel IT

Columbus (OH)

On-site

USD 120,000 - 195,000

Full time

14 days+

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Job summary

Revel IT is seeking a Lead Machine Learning Engineer to design, build, deploy, and operate production-grade ML platforms that empower data-driven decisions across Marketing, Finance, Product, and Customer Experience.

This role focuses on building scalable ML infrastructure, improving developer productivity, and ensuring ML systems run reliably in production while collaborating with data scientists and business teams to deliver high-impact models.

Qualifications

  • 5+ years of experience designing, deploying, and supporting production machine learning systems.
  • Strong Python programming and software engineering experience.
  • Experience with production monitoring, logging, alerting, debugging, and incident response for ML systems.
  • Experience deploying ML models using modern MLOps practices and tools.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience with Infrastructure as Code tools such as Terraform.
  • Strong understanding of CI/CD, APIs, containerization, and production software development best practices.
  • Excellent communication skills with the ability to collaborate effectively across technical and non-technical teams.

Responsibilities

  • Design, build, deploy, and maintain scalable machine learning systems and production ML pipelines.
  • Partner closely with Data Scientists to productionize machine learning models, forecasting solutions, and simulation workflows.
  • Develop reusable tools, services, and infrastructure that accelerate the path from experimentation to production.
  • Build and improve ML deployment, monitoring, versioning, and operational workflows to increase reliability and scalability.
  • Monitor production ML systems, investigate incidents, troubleshoot issues, and implement long-term improvements.
  • Design solutions that provide reproducibility, lineage, governance, and visibility across complex ML workflows.
  • Integrate ML systems with upstream data sources, feature stores, cloud data platforms, APIs, and downstream business applications.
  • Develop dashboards, monitoring, and reporting capabilities that help stakeholders evaluate model performance and business impact.
  • Collaborate with engineering, data science, and business teams to deliver reliable machine learning solutions.
  • Mentor engineers, share best practices, and contribute to architecture and engineering standards.

Skills

Python programming
Production ML systems
Cloud platforms
CI/CD
APIs
Containerization
Communication

Education

Bachelor's degree in CS/Engineering/Math/Stats
Master's or PhD in related field

Tools

Terraform
MLflow
Airflow
Kubeflow
Dagster
Databricks
Spark

Job description

Revel IT is seeking a Lead Machine Learning Engineer to design, build, deploy, and operate production-grade ML platforms that empower data-driven decisions across Marketing, Finance, Product, and Customer Experience.

This role focuses on building scalable ML infrastructure, improving developer productivity, and ensuring ML systems run reliably in production while collaborating with data scientists and business teams to deliver high-impact models.

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