Machine Learning Engineer (Hybrid)

MCS is thrilled to be partnering with a global financial institution 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 greenfield development and building products from scratch. 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.

This team acts more as a startup within a financial institution, so experience in a startup environment (wearing multiple hats, build things from scratch, collaborating with the business, etc) will go a long way in this role.

What You'll Need

• A bachelor's degree in a technical discipline (computer science, machine learning, mathematics, physics, statistics, econometrics), with a Masters preferred

• A true Engineering background 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