Machine Learning Engineer

📋 Description

• Develop, train, test, and evaluate ML models for product goals.
• Prepare and manage datasets for training and validation.
• Improve model performance via experimentation and optimization.
• Deploy, monitor, and maintain ML models in production.
• Collaborate with software engineers to integrate ML into products.
• Track model performance and identify improvements in accuracy.

🎯 Requirements

• 1+ year in ML, software engineering, data science, or strong ML projects.
• Basic understanding of ML concepts, algorithms, and model development.
• Strong programming skills in Python.
• Familiarity with ML frameworks: PyTorch, TensorFlow, scikit-learn.
• Comfortable working with data and writing clean, maintainable code.
• Experience using Git and version control practices.

🎁 Benefits

• Fully remote work opportunity.
• Flexible working environment with autonomy and work-life balance.
• Opportunity to build and improve real-world AI products.
• Exposure to challenging technical problems and modern ML technologies.
• Collaborative and fast-moving team environment.
• Opportunities for professional growth and continuous learning.