Senior Machine Learning Engineer

Overview

Remote
Depends on Experience
Contract - W2
No Travel Required

Skills

Amazon S3
Amazon SQS
Amazon Web Services
Data Analysis
Flask
HTTP
Git
Keras
Machine Learning (ML)
Management
NumPy
PIP
PY
Pandas
Python
XGBoost
scikit-learn

Job Details

Job Role: Senior Machine Learning Engineer

Location: Remote

Duration: 12 Months

Job Description:

At least three years python coding experience (possibly willing to interview candidates with less experience if they have a portfolio of python code that we can review)

Demonstrable experience with data analysis packages: Pandas, NumPy, seaborn, matplotlib

Demonstrable experience with two or more ML packages: scikit-learn, XGBoost, Keras, TensorFlow

Demonstrable experience with GIT-based source code repositories

Ability to explain a non-trivial body of python code to an interviewer

Desired:

Demonstrable experience with python packaging and dependency management, including pip, setup.py, and pyproject.toml.

Demonstrable experience with AWS services (ECS, Lambda, S3, SQS, SNS).

Demonstrable experience with building HTTP-based APIs with FastAPI or Flask.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.