Senior MLOps Engineer

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CloudFactory

πŸ“Remote - Nepal

Summary

Join CloudFactory, a mission-driven team passionate about using AI to transform the world, as a highly-skilled MLOps Engineer. You will play a crucial role in developing and implementing cutting-edge software solutions enhancing our machine learning and core business capabilities. This position involves designing and building ML pipelines for automation, reliability, and scalability of computer vision models. You will collaborate with cross-functional teams, have a high degree of autonomy, and be responsible for designing and implementing new core MLOps components. The ideal candidate will have a strong background in building ML infrastructure, experience with various technologies, and a passion for making a global impact. CloudFactory offers a unique opportunity to work with talented individuals from developing nations and contribute to a meaningful mission.

Requirements

  • Degree in applied mathematics, statistics, computer science, physics, engineering, a quantitative or computation field
  • 3+ years building ML infrastructure in production environments
  • Fluent in Python and writing production ready code
  • Experience with docker/kubernetes
  • Knowledgeable about cloud platforms such as GCP or AWS
  • Experience using CI/CD platforms to automate build, test, and deployment pipelines
  • Familiar with a variety of machine learning techniques and their real-world advantages/drawbacks

Responsibilities

  • Design and implement new core MLOps components
  • Optimize or improve existing ML operations such as model training, inferencing, or high throughput batch jobs
  • Develop CI/CD pipelines to automate model testing, deployment, and monitoring
  • Collaborate closely with ML engineers and communicate complex issues clearly to stakeholders from the tech, product, or business teams

Preferred Qualifications

  • MS or PhD preferred
  • Experience working in computer vision
  • Proficiency with ML scaling frameworks such as Ray
  • Experience with ML model orchestration tools such as Flyte

Benefits

  • Competitive Compensation
  • Work from Home. We are 100% distributed
  • Community service opportunities
  • High growth, globally scaling company culture
  • A mission you can stand by!
  • Room for growth! We prefer to promote from within than hire from without
  • Medical, dental, and vision care
  • Life, accident, and disability insurance
  • 401(k) retirement savings plan

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