Key Responsibilities
- Fine-tune large language models for domain-specific applications using advanced techniques
- Optimize model performance through hyperparameter tuning and architecture adjustments
- Develop and maintain deployment pipelines for AI models in production environments
- Collaborate with cross-functional teams to integrate AI solutions into existing systems
- Monitor model performance and implement continuous improvement strategies
- Ensure compliance with ethical AI practices and data governance standards
Requirements
- 3+ years of experience in machine learning model development
- Proficiency in Python and deep learning frameworks (PyTorch/TensorFlow)
- Hands-on experience with model fine-tuning and optimization techniques
- Knowledge of MLOps practices and model deployment strategies
- Strong problem-solving skills and ability to work in fast-paced environments