Key Responsibilities
- Design and implement machine learning models for production systems using TensorFlow/PyTorch
- Develop MLOps pipelines for model training, deployment, and monitoring
- Collaborate with data scientists to productionize research models and algorithms
- Optimize model performance and scalability for high-traffic applications
- Establish best practices for model versioning, testing, and documentation
- Lead technical discussions on model architecture and infrastructure requirements
Requirements
- 7+ years of experience in machine learning and deep learning frameworks
- Strong proficiency in Python and experience with TensorFlow/PyTorch
- Knowledge of MLOps tools and cloud platforms (AWS/GCP/Azure)
- Experience with feature engineering, hyperparameter tuning, and model evaluation
- Understanding of distributed computing and GPU acceleration for ML workloads