Machine Learning Engineer (Hybrid)

  • New York, NY
  • Posted 2 days ago | Updated 1 hour ago

Overview

On Site
$200000.00 - $250000.00 per annum
Full Time

Skills

Python
Machine Learning
LLM
IaaC
Terraform
RESTful APIs

Job Details



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

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