Remote Machine Learning Engineer

We're looking for aMachine 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 roleor 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.