Posted at: 15 January

Remote Machine Learning Engineer

Company

CompanyAngenex

Angenex is a manufacturer of advanced safety products, specializing in nitrile exam gloves for the medical, dental, and industrial sectors, operating primarily in a B2B model.

Remote Hiring Policy:

Angenex supports remote work across multiple roles and primarily hires within the United States, with team members located in states such as New York, California, and Texas.

Job Type

Full-time

Allowed Applicant Locations

United States

Job Description

Job Description

We're seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics.

Responsibilities

- Build and deploy the ML pipelines that power the company machine learning platform.

- Manage MLOps infrastructure to monitor and optimize models.

Qualifications

Experience:

1+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.

Proficiency across topics in machine learning and statistics.

Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas)

Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras, Tensorflow, Pandas, and common ML cloud services.

Familiarity with CNNs, RNN, LSTMs, and the latest research trends.

Experience implementing, deploying, and maintaining production machine learning systems.

Experience monitoring and optimizing model performance.

Experience with Linux, Docker and AWS, and basic development operations.

Advanced degree in computer science, mathematics, statistics or related area of study strongly preferred.