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Senior Machine Learning Operations Engineer - Remote

Posted 5 weeks ago

Overview

As a Senior MLOps Engineer at Agiloft, you will collaborate with cross-functional teams to design, build, and maintain robust production machine learning infrastructure and tooling, enabling scalable and reliable delivery of customer-facing machine learning solutions.

In Short

  • Collaborate with cross-functional teams to build and maintain end-to-end machine learning pipelines.
  • Design, implement, and optimize infrastructure for rapid prototyping and continuous integration.
  • Monitor and maintain production machine learning systems for reliability and performance.
  • Provide technical guidance and mentorship to junior team members.
  • Stay updated with advancements in MLOps and generative AI.
  • Set and enforce standards for code quality across teams.
  • Gather requirements and design systems for the machine learning lifecycle.
  • Experience with REST API design and implementation.
  • Proficiency in Python and machine learning frameworks.
  • Experience with cloud platforms, preferably AWS.

Requirements

  • Proven experience deploying machine learning models in production.
  • Ability to gather requirements and scope projects effectively.
  • Experience with REST API frameworks like Flask or FastAPI.
  • Proficiency in Python and machine learning frameworks.
  • Experience in building and scaling machine learning pipelines.
  • Proficiency with cloud platforms, preferably AWS.
  • Strong communication skills for collaboration.
  • Familiarity with CI/CD tools for machine learning workflows.
  • Experience with Docker and Kubernetes.

Benefits

  • Support for healthy work/life balance.
  • Floating holidays and wellness days.
  • Inclusive working environment with Employee Resource Groups.
  • Opportunities for professional growth and mentorship.
  • Access to cutting-edge technologies and tools.

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