Key Responsibilities
- Develop and optimize machine learning models for global-scale applications
- Collaborate with cross-functional teams to integrate AI solutions into production systems
- Preprocess and analyze large datasets to improve model performance
- Implement and evaluate deep learning architectures using frameworks like TensorFlow and PyTorch
- Document code, experiments, and model performance metrics
- Participate in code reviews and agile development processes
Requirements
- Pursuing or recently completed a degree in Computer Science, AI, or related field
- Proficiency in Python and familiarity with machine learning libraries
- Basic understanding of neural networks and data preprocessing techniques
- Strong problem-solving and analytical skills
- Ability to work in a fast-paced, collaborative environment