Software Developer

• Own the build and maintenance of the company s data and ML pipelines
• Work with the team to perform invoice digitization to transform invoice PDFs into rich and clean data asset
• Perform inference through existing NLP and computer vision models
• To automatically retrain and deploy updated models, use human-in-the-loop annotations
• Over time, monitor and maintain the models in production
• Refactor data scientists' code before releasing it into production
• Craft and deliver new pipelines to enrich invoice data from the company s machine learning models
• Make models available as APIs
• Work closely with the data scientists to productionize the data science and machine learning code that is developed
• Collaborate with the engineering team to make sure the data and ML engineering pipelines are performant in production
• Deliver the MVP within the first three months of hire
• Work with the executive team, and act as a thought leader across the company
• Define, articulate, and execute the data and ML engineering strategy from launch to scale, and implement engineering best practices
• Champion agile, design philosophy, CI/CD, test-driven development, thoughtful architecture, communication, and measurability
• Ship highly scalable distributed systems on cloud platforms (AWS/GCP) and database technologies (SQL/NoSQL/column-oriented distributed databases)
• Develop big data systems (Spark/Airflow) and microservice architectures
• Collect, store, process, and analyze structured and unstructured data and implement ETL processes
• Standardize, enhance, implement, and monitor data repositories
• Create workflows to ingest, enrich, and make data available across the company s platform
• Define data retention policies and automate data delivery
• Manage a budget before and observe first-hand challenges in managing vendor spend
• Perform tight integrations into other fintech platforms (e.g., payment platforms)
• Build highly scalable data and ML pipelines

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 3+ years of relevant experience as a software developer
• Strong ability to evaluate technical tradeoffs and translate them into short/long-term business decisions
• Solid expertise in setting technical vision, architecting, building, and maintaining performant systems, from launch to scale
• Demonstrable experience working extensively with Python
• Proficiency in any static type language is a plus
• Passionate about building data and ML engineering teams and rapidly developing data and ML pipelines at various stages
• Excellent at communicating complex concepts, including the ability to distill intricate workflows into clear processes and decisions with measurable company-wide impact
• Fluent in verbal and written English