Machine Learning Intern

The Machine Learning Intern position is an opportunity for a passionate and motivated individual to join our team and collaborate with data science and engineering teams. As a Machine Learning Intern, you will be involved in building, testing, and deploying machine learning models for real-world applications. Your responsibilities will include assisting in data collection, cleaning, preprocessing, and analysis. You will also develop and test machine learning models using Python and relevant libraries such as scikit-learn, TensorFlow, and PyTorch. Additionally, you will be responsible for supporting model evaluation and optimization for performance improvement, working on real-time ML use cases, and contributing to deployment pipelines. Documenting findings, results, and processes in a clear and organized manner, as well as collaborating with cross-functional teams on research and development projects, will also be part of your role. To excel in this role, you must have a strong understanding of machine learning algorithms and statistical concepts. Proficiency in Python and libraries like NumPy, pandas, and Matplotlib is essential. Familiarity with ML frameworks such as TensorFlow, Keras, PyTorch, and scikit-learn, as well as knowledge of data preprocessing and model evaluation techniques, are required. Strong problem-solving and communication skills are also crucial for success in this position. This is a full-time position that requires working on-site. If you are passionate about machine learning and eager to apply your skills in a real-world setting, we encourage you to apply for the Machine Learning Intern role.,