Machine Learning Engineer -Global Financial Services Firm - NYC, Hybrid

Premier global non-bank financial services firm looking for a machine learning engineer with an entrepreneurial mindset and strong interest in using LLMs and classical machine learning techniques to help drive a multi-billion dollar business. Strong Python and deployment experience required.

Qualifications

• Bachelor's degree in a technical subject (e.g. computer science, machine learning, mathematics, physics, statistics, econometrics), or equivalent experience
• Ability to write code fluently in at least one programming language, preferably Python
• Knowledge of mathematics, statistics and machine learning concepts needed to properly train and evaluate production models and understand research papers
• Ability to communicate technical ideas effectively and work with business partners
• 2+ years experience in a machine learning, data engineering or software engineering team

Nice To Have

• Familiarity with deploying and managing containerized applications in an AWS and/or Azure environment
• Familiarity with Infrastructure as Code (Terraform) and CI/CD
• Experience building RESTful APIs (preferably in Flask, FastAPI, or other Python frameworks)
• Experience building data pipelines to feed ML models
• Knowledge of Python ML/data/math libraries such as PyTorch, numpy and pandas