Machine Learning Engineer

📋 Description

• Develop, train, test, and evaluate machine learning models to support product objectives.
• Prepare, clean, analyze, and manage datasets used for model training and validation.
• Improve model performance through experimentation, optimization, and continuous testing.
• Deploy, maintain, and monitor machine learning models in production environments.
• Collaborate with software engineers to integrate machine learning capabilities into products and applications.
• Track model performance and identify opportunities to improve accuracy, reliability, and efficiency.

🎯 Requirements

• 1+ year of experience in machine learning, software engineering, data science, or a related technical field, or strong personal projects demonstrating machine learning capabilities.
• Basic understanding of machine learning concepts, algorithms, and model development processes.
• Strong programming skills in Python.
• Familiarity with machine learning frameworks and libraries such as PyTorch, TensorFlow, or 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 machine learning technologies.
• Collaborative and fast-moving team environment.
• Opportunities for professional growth and continuous learning.