Machine Learning and AI Engineer

Docyt, pronounced "docket", AI-Powered Accounting is a rapidly growing FinTech startup headquartered in Silicon Valley, California. Committed to empowering small and medium-sized businesses, Docyt focuses on providing comprehensive control over their financial data. Despite advancements in payment systems, many businesses struggle to consolidate and utilize their financial information effectively. Docyt addresses this challenge by bringing order to data chaos, offering a super app powered by AI across the accounting technology spectrum. Our platform digitizes financial data, automates income and expense workflows, conducts continuous reconciliation with QuickBooks, and generates real-time financial statements. With a complete and accurate financial picture, businesses gain the knowledge needed to make informed decisions and drive forward momentum. Our product seamlessly blends technical innovation with intuitive design, setting a new standard in usability.

Docyt is searching for a highly skilled and motivated Machine Learning and AI engineer to join our dynamic team. The ideal candidate will possess robust Python proficiency, a deep passion for ML and AI technologies - including MLops and Human in the Loop.

Responsibilities:

• Design, develop and deploy scalable ML and AI models and algorithms such as OCR, natural language processing (NLP), etc to automate and optimize accounting processes
• Evaluate and refine ML models to enhance performance, accuracy and efficiency continually
• Stay abreast of the latest advancement in ML and AI technologies and incorporate best practices into our platform.
• Utilize MLops and Human in the Loop methodologies to enhance model deployment, monitoring and maintenance.

• Bachelor's or Master's degree in Computer Science and Engineering or related fields.
• Proficiency in Python programming and relevant libraries (e.g., Tensorflow, PyTorch, Scikit-learn)
• Solid understanding of ML algorithms, data structures, and statistical techniques
• Familiarity with ML frameworks, and tools for model development, training and evaluation
• Familiarity with cloud platforms (e.g, AWS, GCP) and distributed computing frameworks
• Strong problem-solving skills with meticulous attention to detail
• Effective communication and collaboration abilities
• Previous interest or exposure to accounting principles and practices is advantageous