Sr Mlops Engineer

hace 2 semanas

Desde casa, Colombia Fusemachines A tiempo completo

About Fusemachines:

Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.
D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI.

With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 450 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world.


About the Role:

This is a remote, contract position

About you:

  • A passion for automating everything
  • 5+ years of experience in DevOps/MLOps
  • 3+ years experience working on machine learning pipelines
  • 2+ years experience working with data pipelines
  • Strong understanding of Python best practices and design patterns
  • Experience with Python web frameworks like Flask and FastAPI
  • Experience building scalable productionready REST APIs
  • Experience with EKS and Helm Charts
  • Strong AWS and Azure cloud experience
  • Experience with CI/CD best practices and familiarity with Jenkins, Git, Azure DevOps, and AWS Sagemaker
  • Familiar with deep learning algorithms
  • Familiar with Pytorch, Tensorflow, Sklearn, XGBoost
  • Excellent communication skills

Responsibilities:

  • Lead and drive MLOps projects from beginning to end
  • Frame and structure questions, collect and analyze data, research, prototype, and build machine learning pipelines, and runtime services of models in production
  • Have a strategic perspective of how several machine learning solutions come together against a team, technical product strategy, and lead to an optimal sequence of work
  • Excellent communication skills
with demonstrated experience driving teams forward and the ability to influence technical decisions to line up with the company's strategy

  • Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by law._
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