ML Ops Engineer (Boston, MA)

Foundation EGI

• $120K — $150K *
US-AnywhereRemote in Boston, MA
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • BS in Computer Science or related field
  • 5+ years experience in AI/ML Ops, DevOps, or Infrastructure Engineering
  • Expert-level Python and TypeScripts skills
  • Proficient with Docker, Kubernetes, Terraform, Google Cloud, and AWS
  • Deep understanding of machine learning models, especially LLMs
  • Experience designing and maintaining CI/CD pipelines for ML models
  • Excellent communication skills, both written and verbal

Responsibilities

  • Architect and manage ML pipelines for training, validation, and deployment
  • Define and maintain logging and monitoring for model performance
  • Automate CI/CD for ML artifacts using GitHub Actions
  • Collaborate with cross-functional teams including frontend and backend engineers
  • Write clean and maintainable code
  • Ensure systems maintain high availability and performance
  • Implement monitoring stacks like Prometheus/Grafana

Benefits

  • Flexible work hours
  • Remote work options
  • Opportunities for continuous learning and development
  • Health and wellness benefits
  • Collaborative team environment
Full Job Description
Requirements:

  • Architect, build, and operate end-to-end ML pipelines for training, validation and deployment on Google Cloud and AWS.
  • Define, instrument, and maintain logging, monitoring, and alerting for model performance and data drift.
  • Automate CI/CD for ML artifacts and infrastructure using GitHub Actions or equivalent.
  • Collaborate with cross-functional teams, including frontend engineers, backend engineers, research engineers, and infrastructure engineers.
  • Write clean, well-documented, fast, and maintainable code.
  • Help ensure our systems have high availability and performance.
  • Experience in computer graphics or physics-based simulation.
  • Background in setting up Prometheus/Grafana, ELK, or similar monitoring stacks.
  • Experience with Vertex AI.
  • Experience working with custom Domain-Specific Languages.

What we're looking for

  • BS in Computer Science or a related field.
  • 5+ years of experience as a AI/ML Ops, DevOps, Infrastructure Engineer or equivalent.
  • Expert-level Python and TypeScripts skills.
  • Experience with Docker, Kubernetes, Terraform, Google Cloud and AWS.
  • Deep understanding of machine learning models, including LLMs.
  • Experience designing and maintaining CI/CD pipelines to fine-tune or train ML models.
  • Excellent written and verbal communication skills.


Bonus Points

  • Experience in computer graphics or physics-based simulation.
  • Background in setting up Prometheus/Grafana, ELK, or similar monitoring stacks.
  • Experience with Vertex AI.
  • Experience working with custom Domain-Specific Languages.


Our tech stack

  • Google Cloud, AWS
  • Python, TypeScript
  • Protobuf, gRPC
  • Next.JS, React.JS
  • GitHub Actions
  • Docker, Kubernetes, Spinnaker
  • PostgreSQL


* Ladders Estimates

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