Remote Applied ML Engineer: Models, Pipelines & Tuning

IXO Inc.; France; Remote; EUR 103,000 - 181,000; Full time

Job summary

IXO Inc. is seeking a machine-learning engineer to develop and improve models with repeatable data preparation and evaluation. You will work with Python and ML libraries to build and refine models, and manage data using MongoDB.

The role emphasizes end-to-end experimentation, documentation, and collaboration across deployment environments, with remote work and flexible hours. Compensation is hourly in USD, depending on scope.

Qualifications

• Strong Python with scikit-learn, TensorFlow, PyTorch or equivalent ML frameworks.
• Hands-on MongoDB and practical data preparation/feature engineering.
• Knowledge of model metrics and experience solving real ML problems.
• Cloud or enterprise model deployment and clear technical documentation.

Responsibilities

• Build and refine models in Python and suitable ML libraries.
• Use MongoDB to retrieve and manage data for training and validation.
• Integrate preprocessing and data pipelines with training and inference.
• Tune parameters, benchmark performance and investigate weaknesses.
• Document experiments, methods and conclusions so the work can be reproduced.

Skills

Python

Data preparation

Model evaluation metrics

Documentation

Tools

scikit-learn

TensorFlow

PyTorch

MongoDB

Job description

IXO Inc. is seeking a machine-learning engineer to develop and improve models with repeatable data preparation and evaluation. You will work with Python and ML libraries to build and refine models, and manage data using MongoDB.

The role emphasizes end-to-end experimentation, documentation, and collaboration across deployment environments, with remote work and flexible hours. Compensation is hourly in USD, depending on scope.