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.

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### 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.
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### 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.
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### 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.
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### 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.
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### 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.