K1X
Our goal is to transform the K-1 experience by moving a traditionally analog based-process to an all-digital experience.
11 - 50
Machine Learning Ops Engineer
2 days ago
🏡 Remote – Anywhere in California
K1X
Our goal is to transform the K-1 experience by moving a traditionally analog based-process to an all-digital experience.
11 - 50
Description
• 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.
Requirements
• Bachelor’s or Master’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 • 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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