Overview
Skills
Job Details
MCS is thrilled to be partnering with a leader in the financial services space in NYC, as they look to add to their growing Machine Learning team.
We're looking for a sharp, hands-on technologist with a passion for machine learning and a knack for turning models into real-world impact. If you're excited about large language models (LLMs), classic ML techniques, and building tools that power a multi-billion dollar enterprise, this role is for you.
What You'll Need
A bachelor's degree in a technical discipline (computer science, machine learning, mathematics, physics, statistics, econometrics), with a Masters preferred
Solid coding skills in at least one programming language, with a strong preference for Python
A deep understanding of math, statistics, and ML fundamental's; you should be comfortable training models, evaluating performance, and parsing technical research
Strong communication skills with the ability to translate complex technical ideas into clear business impact
An entrepreneurial approach, self-starter attitude, and eagerness to solve complex problems with innovative ML solutions
Experience in a machine learning, data engineering, or software engineering environment
Bonus Points For
Experience with deploying and managing containerized applications in cloud environments (AWS and/or Azure)
Familiarity with Infrastructure as Code tools like Terraform, and CI/CD pipelines
Experience developing RESTful APIs using frameworks like Flask or FastAPI
Building and maintaining data pipelines that serve ML systems
Hands-on experience with Python libraries such as PyTorch, NumPy, and pandas
Work Setup
This role follows a hybrid model, three days in the office/two days remote