Remote Machine Learning Engineer

Develop, train, and evaluate machine learning models.

Prepare and analyze datasets for model training.

Improve model performance through experimentation and testing.

Deploy and maintain ML models in production environments.

Collaborate with software engineers to integrate ML solutions into products.

Monitor model performance and continuously improve accuracy.

Stay up to date with new machine learning techniques and technologies.

Basic understanding of machine learning concepts and algorithms.

Experience with Python.

Familiarity with machine learning libraries such as PyTorch, TensorFlow, or scikit-learn.

Comfortable working with data and writing clean, maintainable code.

Familiarity with Git.

Good problem-solving skills.

Strong written and verbal English communication.

Experience with large language models (LLMs).

Experience with cloud platforms such as AWS, GCP, or Azure.

Familiarity with SQL.

Experience deploying ML models.

Personal projects or open-source contributions related to AI or machine learning.