Emburse is looking to build a future where technology drives business value and inspires extraordinary results by creating a completely automated invoice and expense management lifecycle using artificial intelligence.
Requirements
- Strong experience using and optimizing common python machine and deep learning libraries such as Scikit learn, PyTorch, TensorFlow, Keras, MXNet and Spark MLlib
- Experience using statistical computer languages (Python, R, Scala, SQL, etc.) to manipulate data and draw insights from large data sets
- Hands-on generative AI development Experience using foundation models (LLMs, VLMs)
- Experience with model fine tuning of open source foundation models with proprietary data
- Experience leveraging AI metrics for monitoring and value tracking
- Knowledge of AI Agent frameworks with recent hands-on experience building an AI agent able to autonomously use data stores, tools and other AI models to solve inquiries
- Experience using machine learning libraries such as TensorFlow, Keras, SparkML etc
Responsibilities
- Able to translate product design requirements into pipeline of heuristic and stochastic algorithms
- Understand exploratory data analysis for product feasibility studies and ground truth testing
- Execute SQL queries and/or python scripts to manipulate, analyze and visualize data
- Able to implement explainable AI solutions and rationalize model inferences
- Follows SDLC processes, Adopt agile-based processes/meetings and peer code-reviews
- Works with Machine learning engineer/architect to deploy data products into production
- Builds applications that integrate third party and self-hosted foundation models
Other
- BS in Statistics, Mathematics, Computer Science or another quantitative field with at least 6 years experience
- Excellent written and verbal communication skills for coordinating across teams
- A drive to learn and master new technologies and techniques
- Strong problem solving skills with an emphasis on product development
- Graduate degree preferred
