Senior Machine Learning Engineer

Company: Harnham
Location: New York, New York, United States
Type: Full-time
Posted: 03.SEP.2021
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Summary

SENIOR MACHINE LEARNING ENGINEER $170,000 - 200,000 + equity + benefits REMOTE An innovative mission-driven financial services tech start-u...

Description

SENIOR MACHINE LEARNING ENGINEER
$170,000 - 200,000 + equity + benefits
REMOTE

An innovative mission-driven financial services tech start-up is looking for senior machine learning engineers to join their fast-growing team.

THE COMPANY
This is a small company that focuses on utilizing AI and machine learning to solve the credit problem both in the US and abroad. They have a cloud-based platform product that they spent the last 6 years building and pride themselves on investing in no-comprise cutting edge technology.

THE ROLE:

  • As a Senior Machine Learning Engineer, you will focus on deploying and monitoring advanced machine learning models. You will work collaboratively with the Data Science Team during modeling & feature engineering
  • Working directly with stakeholders and bridging the technical & business aspects
  • Mentoring other team members and acting as a tech lead on projects
SKILLS AND EXPERIENCE:
  • Advanced degree in Computer Science Degree or related
  • Background in software engineering
  • Experience building production-quality software infrastructure
  • Extensive industry experience deploying ML models (classification, regression, clustering)
  • Expert in Python, some Java experience, experience with model serving frameworks (ideally AWS Sagemaker) and modern machine learning frameworks (ex. Sckit-learn, Tensorflow)
THE BENEFITS:
The Machine Learning Engineer will earn a salary ranging from 170,000 to 200,000 based on level of experience, as well as a flexible remote working environment, full benefits, and an equity package

HOW TO APPLY:
Please register your interest by sending your CV to Nitasha Khazanchi via the Apply link on this page.

Keywords: machine learning engineer, financial services, Python, AWS, Java, Tensorflow, Sckit-learn, Java, software engineering, data science, artificial intelligence, deep learning, supervised learning, unsupervised learning

 
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