K1X is hiring a
Machine Learning Ops Engineer

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K1X

๐Ÿ’ต ~$62k-$124k
๐Ÿ“Remote - United States

Summary

K1x is seeking a Machine Learning Ops Engineer to develop and deploy machine learning models into production, manage their lifecycle needs, and collaborate with cross-functional teams. The position is fully remote and offers benefits such as unlimited vacation policy, paid parental leave, healthcare benefits, 401K, growing startup culture, and flexible hours.

Requirements

  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Data Science, or a related field
  • 6+ years of relevant industry experience in a machine learning role, with a focus on unstructured and semi-structured data (e.g. financial documents)
  • Strong understanding of machine learning frameworks and libraries (scikit-learn, PyTorch, etc) as well as experience serving models developed in those frameworks in production environments
  • Familiarity with cloud platforms and services and experience with cloud-based model serving
  • Excellent problem-solving skills with the ability to synthesize and communicate complex technical results to senior leaders and nontechnical audiences
  • Highly proficient in Python

Responsibilities

  • Design, build, and maintain machine learning models in production environments
  • Collaborate with data scientists, software engineers, and other stakeholders to build robust ML pipelines and product integrations
  • Optimize and improve existing machine learning models and infrastructure
  • Implement best practices for model development, deployment, and monitoring to ensure reliability and scalability
  • Mentor and guide junior team members, fostering a collaborative and innovative work environment

Preferred Qualifications

  • Previous experience with applications of NLP to financial documents
  • Familiarity with alternative investment accounting needs
  • Prior experience integrating Python-based models with .NET applications in cloud environments

Benefits

  • Unlimited Vacation Policy + Sick Time + Holidays
  • Paid Parental Leave
  • Fully Remote Opportunity
  • Healthcare Benefits and 401K
  • Growing Startup Culture

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