Machine Learning Engineer

📋 Description

• Develop, train, test, and evaluate ML models to support product objectives.
• Prepare, clean, analyze, and manage datasets for training/validation.
• Improve model performance through experimentation, optimization, and testing.
• Deploy, maintain, and monitor ML models in production environments.
• Collaborate with software engineers to integrate ML into products.
• Track model performance and identify improvement opportunities.

🎯 Requirements

• 1+ year in ML, software, data science, or related field, or strong projects.
• Basic understanding of ML concepts and model development.
• Strong Python programming skills.
• Familiarity with PyTorch, TensorFlow, or scikit-learn.
• Git and version control experience.
• English communication skills (written and verbal).
• LLMs or cloud platforms (AWS/GCP/Azure) experience is an advantage.

🎁 Benefits

• Fully remote work opportunity.
• Flexible environment with autonomy and work-life balance.
• Build and improve real-world AI products.
• Exposure to challenging ML tech and modern tools.
• Collaborative, fast-moving team environment.
• Growth opportunities and continuous learning.