Remote Machine Learning Engineer
About the Role
Angenex is seeking an ML Engineer to join its data team and build machine learning solutions that support marketing and sales initiatives as well as commercial analytics. This role focuses on developing production-ready machine learning pipelines, managing MLOps infrastructure, deploying models, and monitoring and optimizing machine learning performance.
Key Responsibilities
Build and deploy machine learning pipelines that power the company’s machine learning platform.
Develop and maintain production machine learning systems.
Manage MLOps infrastructure supporting machine learning workloads.
Monitor model performance and identify opportunities for optimization.
Optimize deployed machine learning models for production use.
Apply machine learning and statistical concepts to practical business and analytical problems.
Work with data and engineering technologies including Python, SQL, Spark, and Pandas.
Support machine learning solutions for marketing, sales, and commercial analytics.
Required Qualifications
1+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.
Proficiency in machine learning and statistics.
Strong Python programming skills.
Experience with data manipulation using SQL, Spark, and Pandas.
Broad familiarity with the Python machine learning ecosystem and common libraries.
Experience with machine learning libraries and frameworks including Scikit-Learn, XGBoost, PyTorch, Keras, and TensorFlow.
Experience implementing, deploying, and maintaining production machine learning systems.
Experience monitoring and optimizing model performance.
Experience with Linux and Docker.
Experience with AWS.
Basic development operations experience.
Familiarity with CNNs, RNNs, and LSTMs.
Preferred Qualifications
Advanced degree in Computer Science, Mathematics, Statistics, or a related field.
Familiarity with the latest machine learning research trends.
Familiarity with common machine learning cloud services.
Skills & Competencies
Machine Learning
Statistical Modeling
Python
SQL
Apache Spark
Pandas
Scikit-Learn
XGBoost
PyTorch
Keras
TensorFlow
CNNs
RNNs
LSTMs
Production Machine Learning
ML Pipelines
MLOps
Model Deployment
Model Monitoring
Model Optimization
Linux
Docker
AWS
Development Operations
Data Manipulation
Marketing Analytics
Sales Analytics
Commercial Analytics
Education & Experience
Education: No specific undergraduate degree requirement is stated. An advanced degree in Computer Science, Mathematics, Statistics, or a related area is strongly preferred.
Experience: 1+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist, including experience building, deploying, maintaining, monitoring, and optimizing production machine learning systems.
Work Arrangement & Schedule
Location: Jersey City, NJ, US
Work Arrangement: Remote
Employment Type: Not specified
Schedule / Weekly Hours: Not specified
Compensation & Benefits
Compensation: Not specified in the provided job description.
Benefits: Not specified in the provided job description.
Compliance / Additional Information
Employer: Angenex
Job Title: Remote Machine Learning Engineer
Posted: September 6, 2026
Source: Jooble
The role supports machine learning solutions across marketing and sales and commercial analytics.
The original posting identifies an advanced degree as strongly preferred rather than required.

ML Engineer - US Remote

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