Remote Machine Learning Engineer

We're looking for a **Machine Learning Engineer** to help build and improve AI-powered products. You'll work with large datasets, train and evaluate machine learning models, and collaborate with software engineers to bring models into production.

This is a great opportunity for someone who enjoys solving practical problems with machine learning and wants to work on real-world AI applications.

### What you'll do

* 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.

### What we're looking for

* 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.

### Nice to have

* 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.

### Requirements

* 1+ year of experience in machine learning, software engineering, data science, or a related technical role **or** strong personal projects demonstrating ML skills.
* Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is a plus, but not required.
* Passion for learning and building AI solutions.

### What we offer

* Fully remote work.
* Flexible working environment.
* Opportunity to work on real AI products.
* Challenging technical problems with room to grow.
* Collaborative and fast-moving team.
* Competitive compensation based on experience.