Data / Machine Learning Engineer, Trumid

• The ideal candidate is a true believer in machine learning, with a strong vision for its potential to transform bond markets
• This person understands that successful models are built on a solid data foundation and has the skills and discipline to create that foundation before research and model development begin
• You may be an engineer with experience building large-scale data systems who wants to add machine learning to your toolbelt, or an ML researcher who has built up a data engineering skillset over your years of developing and deploying models
• 4+ years of data engineering, software engineering, machine learning, and/or LLM experience
• Quantitative educational background
• Track record of working with both technical and business stakeholders to define and build to system requirements
• Proven ability to implement and maintain data ingestion, storage, and processing systems for machine learning use cases
• Knowledge of supervised learning architectures (regression, decision tree, KNN, etc)
• Experience with multiple stages of the ML lifecycle (feature engineering, training, validation, testing, deployment, monitoring)
• Strong background in SQL (cloud data warehouses and relational databases)
• Strong background in Python (scripting, data analysis, ML packages, backend/microservice development)
• Experience with batch data pipelines and ETL orchestration tools

Desirable

• The Data & Intelligence team at Trumid is seeking candidates for a role at the intersection of data engineering, machine learning, and AI. As we work to add intelligence and automation across our trading workflows, constructing reliable, high-quality datasets for training, testing, and running our growing suite of models is a key challenge
• While many organizations separate these functions, we believe that a hands-on approach with both the data and the models will allow us to move faster and achieve better long-term results