Machine Learning Engineer

K1X, Inc. is the leading data distribution platform for alternative investments, focused on digitizing the K-1 ecosystem. They are seeking a highly skilled Machine Learning Engineer to develop and implement machine learning models for processing partnership accounting and tax documents.

Responsibilities:

• Develop and optimize machine learning models for parsing, extracting, and categorizing data in PDF tax documents
• Collaborate with cross-functional teams to integrate machine learning solutions into our software products
• Apply statistical analysis to identify signals, trends, and insights that can inform product development
• Mentor and guide junior data scientists and team members, fostering a collaborative and innovative work environment

Requirements:

• Masters' or PhD in Computer Science, Mathematics, Statistics, Data Science, or a related field
• 6+ years of relevant industry experience as a data scientist, with a focus on NLP/NLU projects
• Demonstrated experience leading end-to-end data science project implementations
• Excellent problem-solving skills with the ability to synthesize and communicate complex technical results to senior leaders and nontechnical audiences
• Proficiency in Python and a strong understanding of machine learning frameworks and libraries (e.g. scikit-learn, PyTorch, spaCy, Huggingface)
• Previous experience with applications of NLP to financial documents
• Familiarity with alternative investment accounting needs
• Experience deploying machine learning models using containerization and orchestration technologies