Machine Learning Engineer
Current- Developed and implemented machine learning algorithms for various applications, including natural language processing, computer vision, and predictive analytics.
- Conducted data preprocessing, feature engineering, and model training using Python, TensorFlow, and scikit-learn.
- Collaborated with cross-functional teams to integrate machine learning models into production systems and optimize performance.
- Contributed to research and development projects, staying abreast of the latest advancements in machine learning technologies.
- Developed and implemented deep learning frameworks like TensorFlow, PyTorch, and Keras.
- Involved in design, implement, and optimize deep neural networks for tasks such as image recognition, natural language processing, and time series analysis.